Position Overview:This role is a part of the Verra Command Center team or VCC, which is responsible for remote technical support and oversight of roadside monitoring and enforcement implementations across...

Headquarters: Remote
URL: http://gowalter.co

Description

Our client is a full-service digital product agency. They build businesses at the intersection of content and commerce, and since 2020, we've been focused on the creator economy and online education space.

We're a distributed team based in Canada. For this project specifically, a good part of the client team is based in Europe, so we're looking for candidates in EST or compatible timezones (anywhere from Eastern North America through Western/Central Europe) with strong overlap to a EST/CET working day.

This is a temporary contract role. Anticipated start date is as soon as possible.

About the project

You'll be joining a major build for one of our clients, a leading platform in the creator economy. They're rolling out a native Community feature that gives their users' most engaged audiences a place to gather, talk, and come back between sends, unlocking a premium upsell and stronger retention for the platform.

The project is mid-development by the time you start, with a beta window and a release event planned for later this year. You'll be embedded into a small, focused team and shipping production code from day one.

About the role

We're looking for a senior full-stack engineer comfortable working primarily in Ruby on Rails and React, who can drop into an existing codebase, ramp up quickly, and start delivering meaningful tickets within the first few weeks. You'll work alongside our existing engineering leads on this engagement, share planning and working sessions with the broader client team, and contribute directly to features being shipped to end users.

The stack is Ruby on Rails with Postgres and Redis Docker for local dev), a React frontend, with real-time and feed infrastructure powered by Stream.io. We use GitHub for code management and Linear for ticketing.

This role is hands-on. There's no Rare Days PM on this engagement (the client owns PM, so we're looking for someone who is self-directed, communicates clearly, and can operate effectively inside a client's processes and rituals.

Responsibilities

- Build and ship full-stack features across the Rails service layer and the React frontend on the client's community platform

- Pick up tickets from the Linear board, scope your own work, and deliver production-quality code with strong test coverage

- Participate in the client's sprint rituals, demos, and touchpoints, speaking confidently about technical decisions, trade-offs, and delivery status

- Collaborate closely with the existing engineers on the project (your primary pair during ramp-up) and with the client's internal engineers and PM

- Help drive the team toward upcoming beta and release milestones, flagging risks early and proposing solutions, not just problems

- Contribute to architecture and integration discussions where relevant (e.g. real-time infrastructure, feed/messaging via Stream, performance and scaling questions)

- Write code reviews that raise the bar without slowing the team down

 

Requirements

What we're looking for

- 7+ years of full-stack engineering experience, with substantial production work in Ruby on Rails and React

- Comfortable in a Rails monolith of meaningful size. You can navigate an unfamiliar codebase, find the patterns, and make changes that match the existing conventions rather than fighting them

- Strong with Postgres (writing efficient queries, understanding indexing, reasoning about migrations on a live database) and familiar with Redis in a caching or background-job context

- Experience working with React in a production app (component patterns, state management, integrating with a Rails backend)

- You've worked on apps where real-time features, multi-tenancy, or scale are real concerns, and you have opinions about the trade-offs (familiarity with ActionCable/AnyCable, Stream.io, Pusher, or similar is a plus)

- You can communicate effectively with both technical and non-technical audiences, and you're comfortable presenting your work directly to a client team

- You're self-directed: you can pick up a ticket, ask the right clarifying questions, and ship it without needing constant check-ins

- You're motivated by feedback and care about the craft. You'd rather raise a concern early than ship something you're not proud of

- Available to work in an EST or compatible timezone Eastern North America through Western/Central Europe), with strong overlap to a EST/CET working day for sprint rituals, pairing, and client touchpoints

- Comfortable working as a contractor

Nice to have

- Prior experience on creator-economy, publishing, or community products

- Background working as an embedded contractor inside a client's engineering team

- Familiarity with deploying Rails applications at scale Heroku, AWS, or similar)

- Experience integrating with third-party real-time / feed / chat services

Engagement details

Type: Temporary contract, full-time allocation

Location: Remote, EST or compatible timezone Eastern North America through Western/Central Europe)

   

To apply: https://weworkremotely.com/remote-jobs/walter-senior-fullstack-engineer-ruby-react

At yes. every kid. our purpose ⁠⁠i⁠⁠s ⁠⁠t⁠⁠o ⁠t⁠ransform educa⁠t⁠⁠i⁠on⁠ t⁠o be as d⁠i⁠verse as ⁠t⁠he k⁠i⁠ds ⁠i⁠⁠t⁠’s des⁠i⁠gned⁠ t⁠o serve. Instead of allowing politicians and special interests to rule education, we can unleash the extraordinary potential of every kid by treating them with dignity and empowering them to make decisions that are best for them. Join us as we give a voice to every parent, student, and teacher who shares that goal.

yes. every kid. is part of the Stand Together philanthropic community.

The Sr. Manager, Implementation plays a key role in leading yes. every kid. foundation’s (YesF) work to support successful implementation by translating education freedom policy into executable, scalable programs.

The Sr. Manager will lead day-to-day execution of YesF’s federal and state-based implementation priorities and related initiatives, working directly with organization leaders, administrators, partners and internal teams to translate policy into action.

This hands-on role will be focused on delivering high-quality implementation support from start-up strategy to operational execution. The Sr. Manager will help translate policy into practice by developing tools, solving operational challenges and supporting programs that are simple, accessible and effective for families.

This role may be performed remotely with frequent travel.

How You Will Contribute:

• Lead key workstreams across YesF’s federal and state implementation portfolio, with primary responsibility for federal scholarship initiatives

• Design and deliver implementation supports including cohort-based learning, startup advisory support and scalable tools to accelerate launch and growth of programs.

• Work directly with organization leaders to support launch readiness, operational planning and early-stage implementation

• Develop and deliver practical implementation tools, including startup playbooks, compliance guidance, donor engagement strategies and resources

• Translate federal policy and emerging guidance into clear, actionable steps for SGOs and partners.

• Support YesF’s engagement with federal agencies by helping translate implementation insights into feedback and recommendations that promote a clear, workable regulatory environment for SGOs

• Manage timelines and deliverables across multiple implementation engagements

• Support coordination with national partners and stakeholders to share learning and strengthen implementation approaches

• Draft high-quality memos, briefings and external deliverables to support strategy and communication

What You Will Bring:

• A self-starter with an entrepreneurial mindset who takes initiative, identifies opportunities and moves work forward

• You are comfortable owning workstreams, managing details and delivering high-quality outputs in fast-moving environments

• A builder who thrives in creating structure, solving problems and helping stand up new programs

• 5-8 years of experience in policy implementation, program management, nonprofit operations or a related field

• Strong understanding of program operations and execution, ideally with exposure to education programs, tax credits, and/or non-profit environments

• Excellent written communicator, able to translate complex ideas into clear, practical guidance

• Capable of managing multiple priorities and meeting deadlines and skilled at managing both strategy and execution, with strong attention to detail

• Comfortable working directly with external partners while staying aligned internally

• Motivated by expanding education opportunity and ensuring programs work well for families

• The willingness and ability to travel up to 35% of the time.

Standout Candidates Will Also Bring:

• Exposure to fundraising and donor strategy

• Experience working across multiple states or in a national policy environment

• Experience building operational playbooks, accelerators, or cohort-based programs

What We Offer:

• Competitive benefits: Enjoy a 6% 401(k) match with immediate vesting, flexible time off, comprehensive health and dental plans, plus wellness and mental health support through Peloton and Talkspace.
• A meaningful career: Join a passionate community of over 1,300 employees dedicated to improving lives and driving innovative solutions to complex social challenges.
• Commitment to growth: Thrive in a non-hierarchical environment that empowers employees to discover, develop and apply their unique talents.
• Competitive compensation: Our approach rewards the value you create through competitive salaries and bonus opportunities, allowing you to share in the success you help drive.

Our Values: Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers employees to be entrepreneurial, to innovate, and to continually drive transformation.

We believe diversity fuels creativity, broadens knowledge, and helps drive success.  That is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, and respect.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Who are we?

At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.

We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.

We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.

Our People team consists of Talent Acquisition and Team Member Experience. At UpGuard, we all deserve to work in an environment where we are treated with dignity and respect. Our People team is committed to creating such an environment, where everyone has the opportunity to be themselves and reach their fullest potential. Our Talent Acquisition team is committed to finding individuals who embody our values and are passionate about the work they do to help UpGuard continue to grow.

Where does this role fit in?

As a Senior Talent Partner, you will be responsible for recruiting for our Go-to-Market (GTM) teams across the US & EMEA. You’ll partner directly with leaders across teams, including Sales, Customer Success, and Marketing, to understand their hiring needs, build effective sourcing strategies, and hire top-tier talent that will shape the future of our company. This is a hands-on role where you’ll manage the full recruitment lifecycle, from sourcing and screening to offer and onboarding.

What will you do?

• Own the entire recruitment process, ensuring a seamless and positive experience for both candidates and hiring managers.
• Partner strategically with hiring managers and executives to understand their talent needs, define role requirements, and develop effective interview processes.
• Proactively source passive candidates through a variety of channels, building robust and diverse talent pipelines for current and future needs.
• Leverage data and key metrics to inform your recruiting strategies, provide insights to stakeholders on market trends, and continuously improve our hiring processes.
• Champion an exceptional candidate experience, ensuring timely, transparent communication throughout the entire journey.
• Demonstrate strong data hygiene within our Applicant Tracking System (ATS), ensuring data integrity and compliance.
• Collaborate with the wider People team on projects related to employer branding, onboarding, and creating an amazing place to work.
• Drive AI-powered recruiting by championing the use of artificial intelligence and automation tools to enhance the efficiency and effectiveness of our recruitment approach. This includes leveraging AI for talent identification, deep research and automating routine tasks to focus on strategic initiatives.

What will you bring?

• Proven full-cycle recruiting experience, within a high-growth SaaS or technology company.
• Deep expertise in Go-to-Market recruiting, with a successful track record of hiring for roles in Sales (e.g., Account Executives, SDRs), Customer Success, and Marketing.
• Exceptional outbound sourcing skills and a hunter mentality; you’re an expert with tools like LinkedIn Recruiter and know how to engage top talent creatively. A deep understanding of modern sourcing techniques, including company and candidate-based research.
• Outstanding stakeholder management skills, with the ability to build trust, influence, and provide consultative guidance to senior leaders.
• A data-driven mindset, with experience using recruitment metrics to track performance and drive decision-making.
• Impeccable organizational and administrative skills with a keen eye for detail.
• A collaborative, team-player attitude with the ability to operate with a high degree of autonomy and a strong sense of urgency in a fast-paced, dynamic environment. You’ll also be a collaborative member of a high-performing team.
• Comfortable working autonomously with your core team located elsewhere in a remote setting

What will give you an edge?

• Experience working in a company that has scaled from ~300 to 500+ employees.
• Proficiency with modern ATS platforms like Ashby.
• Cyber security knowledge and experience.

What’s in it for you?

• Monthly Lifestyle subsidy: use this for financial, physical and mental wellbeing (all regions)
• WFH set-up allowance: to ensure you have the right environment to work in, we will help you get set-up within your first 3 months at UpGuard (all regions)
• $1500 USD annual Learning & Development allowance: to support your career development all team members will be able to expense development opportunities against this allowance (all regions)
• Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
• 18 weeks paid Parental Leave: irrespective of parenting role (all regions)
• Personal Leave allowance: this includes sick & carer’s leave (all regions)
• Fully remote working environment: whilst we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance (all regions)
• Top spec hardware: all team members will be provided with top-spec laptops for their role (all regions)
• Generative AI tooling: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work (all regions)

$130,000 - $145,000 a year

#LI-BW1

UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work, apply now to find out why!

As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

For applications to positions in the United States, please note, at this time we can only support hiring in the following US states: CA, MD, MA, IL, OR, WA, CO, TX, FL, PA, LA, MO, or DC.

Before starting work with us, you will need to undertake a national police history check and reference checks. Also please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

This job posting is available in English and Canadian French. Please scroll down for the French version.

Cette offre d’emploi est disponible en anglais et en français (Canada). Veuillez faire défiler pour la version française.

\_\_\______________________________

Remote - U.S. & Canada Only | Full-Time

Compensation:

• $80K - $130K USD (U.S.-based candidates)
• $85K - $145K CAD (Canada-based candidates)

We’re Not Looking for Generic Account Leadership. We’re Looking for a Performance Marketing Leader.

Level Agency is hiring an Account Director with deep performance marketing agency experience — someone who knows how to lead client relationships, connect strategy to execution, and drive measurable business outcomes.

You may be a current Account Director at a performance marketing agency. Or, you may have started hands-on in paid media, analytics, or campaign management before moving into account leadership. Either way, you understand what great performance marketing looks like because you’ve worked close enough to the work to know what actually moves results.

You can speak credibly about Google Ads. You understand how media, SEO, creative, data, CRM, websites, CRO, and reporting all connect. You know how to spot issues before they become client escalations. And you’re confident enough to lead a room without making it about your title.

You’re especially strong when the path to conversion is complex — where lead quality, pipeline, sales alignment, landing pages, and conversion journeys matter as much as media efficiency.

This is not a “status call and recap email” role. This is for someone who can connect client business goals to marketing strategy, push back with purpose, and lead a focused book of accounts with depth — rather than spreading their attention across a high-volume roster with limited depth.

This Isn’t for Everyone.

We’re building something rare: a place where growth, truth, and high performance go hand-in-hand.

You’ll thrive here if:

✅ You’ve led client relationships in a performance marketing agency environment.

✅ You understand how modern marketing channels work together — media, SEO, creative, data, CRM, website, CRO, and analytics.

✅ You can speak credibly about Google Ads and paid media strategy.

✅ You care about client business results, not just campaign metrics.

✅ You can lead a focused book of clients deeply, not manage a huge roster shallowly.

✅ Your default is “I’ll handle it,” even when the work sits slightly outside your lane.

And you’ll struggle here if:

❌ Your experience is primarily brand, creative, ecommerce, or DTC without deeper performance agency experience.

❌ You’ve only managed accounts at the surface level across a very large client load.

❌ You need a narrow job description to know what you should own.

❌ You protect scope before you protect the outcome.

❌ You can’t speak credibly about channel strategy beyond talking points.

About Level

We’re an AI-powered performance marketing agency — built for precision, designed to scale, and powered by a scientific mindset. At Level, we blend strategy, media, creative, and machine intelligence to deliver outcomes that matter. Every time. At scale.

We’ve been named one of Pittsburgh’s Best Places to Work and an Inc. 500 Fastest-Growing Company. Our clients span B2B, education, healthcare, financial services, ecommerce, and more.

Your Role (and Impact)

As an Account Director, you’ll lead performance-driven client relationships across a focused book of accounts. You’ll sit at the intersection of client strategy, marketing execution, internal team leadership, and business impact.

You’ll be the person clients trust to tell them the truth, the person internal teams count on to create clarity, and the person who keeps strategy tied to measurable outcomes.

You’ll:

• Lead Performance Strategy: Translate client business goals into multi-channel marketing strategies that drive measurable growth.
• Own Client Relationships: Build trust with senior stakeholders through clear communication, proactive thinking, and sharp strategic recommendations.
• Connect the Marketing Ecosystem: Help clients understand how paid media, SEO, creative, data, CRM, websites, CRO, and reporting work together to improve performance.
• Bring Paid Media Fluency: Speak credibly about Google Ads, paid social, and media performance — even when you’re not the person making every in-platform change.
• Spot Issues Early: Dig into performance trends, ask better questions, and catch problems before they become client escalations.
• Push Back with Purpose: Challenge client assumptions when needed — always in service of the performance goal, never ego, scope protection, or control.
• Manage a Deep Book: Lead a focused portfolio of accounts with enough depth to truly understand each client’s business, performance drivers, and risks.
• Guide Internal Teams: Partner with media, SEO, creative, analytics, and strategy teams to keep work moving, priorities clear, and outcomes aligned.
• Tell the Story in the Data: Turn reporting, dashboards, and performance analysis into insights clients can act on.
• Own the Details: Keep budgets, forecasts, timelines, documentation, and communication sharp and accurate.

Requirements

Must-Haves

• 5+ years in a performance marketing agency. You have agency experience rooted in performance, paid media, and measurable outcomes — not primarily brand, creative, or ecommerce-only work.
• Account leadership experience in a performance environment. You are either currently an Account Director at a performance marketing agency or you started in marketing, paid media, analytics, or campaign management before transitioning into account leadership.
• Google Ads fluency is required. You can speak credibly about Google Ads and understand what to investigate when performance shifts, lead volume drops, or conversion quality changes.
• Modern marketing ecosystem understanding. You understand how paid media, SEO, creative, data, CRM, websites, CRO, and analytics connect to drive outcomes.
• Paid media strategy depth. You understand how media channels work together, especially search and social, and can translate performance signals into strategy.
• Client leadership experience. You’ve managed client relationships, led strategic conversations, and presented recommendations to senior stakeholders.
• Focused account management experience. You’re used to leading a meaningful book of clients deeply — roughly 3 to 8 accounts — rather than spreading your attention across a high-volume roster with limited depth.
• Experience with meaningful media spend. You’ve worked with clients spending at least $50K/month in media per client; $100K+/month is strongly preferred.
• Business-first mindset. You talk about revenue, pipeline, lead quality, conversion paths, customer journeys, and business outcomes — not just CTRs, CPCs, and platform metrics.
• Low ego, high ownership. You’re willing to build the dashboard, chase the answer, clean up the ambiguity, or step into the gap when the team needs it.

Strong Preferences

• B2B, lead generation, or complex-sale experience. Experience with longer buying cycles, pipeline quality, sales alignment, or non-DTC conversion paths is a major plus.
• Meta, LinkedIn, SEO, CRM, CRO, or other channel fluency. You don’t need to be an expert in every channel, but you should understand how they work together.
• Experience in financial services, healthcare, education, SaaS, or other considered-purchase verticals.
• Comfort with dashboards, reporting tools, Google Analytics, and data visualization.
• Experience mentoring account team members or coordinating cross-functional delivery teams.

AI Expectations

At Level, AI is a skillset — not a shortcut. In this role, you’ll be expected to:

• Use tools like ChatGPT, Midjourney, Claude, and Perplexity to improve how you work
• Share your prompts, process improvements, and ideas with the team
• Experiment regularly and refine your workflows over time
• Embrace discomfort as part of the learning process
• Apply AI tools to increase your speed, clarity, and creativity — not to replace thoughtful work

AI should make you sharper, faster, and more strategic. It should never replace judgment, taste, accountability, or a strong point of view.

Our Core Values

• No Ego, All In

We don’t do “that’s not my job.” We win together, step in where needed, and care more about the outcome than the org chart.

• Better Every Day

We want the feedback — even when it stings. We test, learn, adapt, and keep raising the bar.

• Relentless for Results

Activity is nothing without outcomes. We care about the work that moves the business forward.

• Driven by Truth

We challenge assumptions, follow the data, and tell clients what they need to hear — not just what is easy to say.

Perks & Benefits

At Level, we support our people across the U.S. and Canada with benefits designed to promote flexibility, wellbeing, and long-term growth.

• Fully remote across the U.S. & Canada, plus monthly WFH stipend and Summer Fridays
• Generous time off, including unlimited PTO (U.S.), competitive vacation (Canada), and parental/family leave options
• Comprehensive health benefits, mental health support, and company-paid disability & life coverage
• Employer retirement contributions (401(k) in the U.S., RRSP match in Canada)
• Quarterly performance reviews and career advancement opportunities

Remote First

This role is open to U.S. and Canada residents and is fully remote. We are unable to sponsor visas at this time.

Level Is Built on Inclusion

We are committed to diversity, equity, inclusion, and belonging. Level is proud to be an Equal Opportunity Employer — we celebrate what makes you, you.

Ready to Apply?

Click below to submit your resume. You’ll also answer a few thoughtful questions, so take your time.

We care more about how you think, how you lead, and how you create impact than whether your path has been perfectly linear.

Let’s build something together.

Télétravail – États-Unis et Canada seulement | Temps plein

Rémunération :

80 000 $ à 130 000 $ US pour les personnes candidates basées aux États-Unis

85 000 $ à 145 000 $ CA pour les personnes candidates basées au Canada

Nous ne cherchons pas un leadership de comptes générique. Nous cherchons un leader en marketing de performance.

Level Agency recrute un ou une Account Director possédant une solide expérience en agence de marketing de performance — une personne capable de diriger les relations clients, de relier la stratégie à l’exécution et de générer des résultats d’affaires mesurables.

Vous êtes peut-être actuellement Account Director dans une agence de marketing de performance. Ou encore, vous avez commencé les mains dans le cambouis en médias payants, en analytique ou en gestion de campagnes avant de passer au leadership de comptes. Dans tous les cas, vous comprenez à quoi ressemble un excellent marketing de performance, parce que vous avez été assez près du travail pour savoir ce qui fait réellement avancer les résultats.

Vous pouvez parler de Google Ads avec crédibilité. Vous comprenez comment les médias, le SEO, la création, les données, le CRM, les sites Web, le CRO et le reporting s’imbriquent. Vous savez repérer les problèmes avant qu’ils ne deviennent des escalades client. Et vous avez assez d’assurance pour mener une discussion sans que tout tourne autour de votre titre.

Vous êtes particulièrement solide lorsque le parcours vers la conversion est complexe — là où la qualité des leads, le pipeline, l’alignement avec les ventes, les pages de destination et les parcours de conversion comptent autant que l’efficacité média.

Ce n’est pas un rôle de « status call et courriel de récapitulation ». Ce rôle s’adresse à une personne capable de relier les objectifs d’affaires des clients à la stratégie marketing, de challenger avec intention et de diriger un portefeuille de comptes ciblé en profondeur — plutôt que de disperser son attention sur une longue liste de clients gérés en surface.

Ce poste n’est pas pour tout le monde.

Nous bâtissons quelque chose de rare : un endroit où la croissance, la vérité et la haute performance avancent ensemble.

Vous allez vous épanouir ici si :

✅ Vous avez dirigé des relations clients dans un environnement d’agence de marketing de performance.

✅ Vous comprenez comment les canaux marketing modernes fonctionnent ensemble — médias, SEO, création, données, CRM, site Web, CRO et analytique.

✅ Vous pouvez parler de Google Ads et de stratégie médias payants avec crédibilité.

✅ Les résultats d’affaires des clients vous importent plus que les simples indicateurs de campagne.

✅ Vous pouvez diriger un portefeuille ciblé de clients en profondeur, plutôt que gérer une énorme liste en surface.

✅ Votre réflexe naturel est « je m’en occupe », même lorsque le travail dépasse légèrement votre champ habituel.

Et vous aurez de la difficulté ici si :

❌ Votre expérience est principalement axée sur la marque, la création, le commerce électronique ou le DTC, sans expérience approfondie en agence de performance.

❌ Vous avez seulement géré des comptes en surface, dans un contexte de très grand volume de clients.

❌ Vous avez besoin d’une description de poste très étroite pour savoir ce qui vous appartient.

❌ Vous protégez le périmètre du mandat avant de protéger le résultat.

❌ Vous ne pouvez pas parler de stratégie de canaux avec crédibilité au-delà des grands principes.

À propos de Level

Nous sommes une agence de marketing de performance propulsée par l’IA — bâtie pour la précision, conçue pour croître, et alimentée par une mentalité scientifique. Chez Level, nous combinons stratégie, médias, création et intelligence machine pour générer des résultats qui comptent. Chaque fois. À grande échelle.

Nous avons été nommés parmi les meilleurs lieux de travail de Pittsburgh et reconnus comme l’une des entreprises à la croissance la plus rapide du classement Inc. 500. Nos clients œuvrent notamment en B2B, en éducation, en santé, en services financiers, en commerce électronique et dans plusieurs autres secteurs.

Votre rôle et votre impact

À titre d’Account Director, vous dirigerez des relations clients axées sur la performance au sein d’un portefeuille de comptes ciblé. Vous serez au croisement de la stratégie client, de l’exécution marketing, du leadership auprès des équipes internes et de l’impact d’affaires.

Vous serez la personne à qui les clients font confiance pour leur dire la vérité, celle sur qui les équipes internes comptent pour créer de la clarté, et celle qui garde la stratégie arrimée à des résultats mesurables.

Vous devrez :

Diriger la stratégie de performance : Traduire les objectifs d’affaires des clients en stratégies marketing multicanaux qui génèrent une croissance mesurable.

Prendre en charge les relations clients : Bâtir la confiance avec les parties prenantes seniors grâce à une communication claire, une pensée proactive et des recommandations stratégiques solides.

Relier l’écosystème marketing : Aider les clients à comprendre comment les médias payants, le SEO, la création, les données, le CRM, les sites Web, le CRO et le reporting travaillent ensemble pour améliorer la performance.

Apporter une aisance en médias payants : Parler avec crédibilité de Google Ads, des médias sociaux payants et de la performance média — même si vous n’êtes pas la personne qui effectue chaque changement dans les plateformes.

Repérer les problèmes tôt : Creuser les tendances de performance, poser de meilleures questions et détecter les enjeux avant qu’ils ne deviennent des escalades client.

Challenger avec intention : Remettre en question les hypothèses des clients lorsque nécessaire — toujours au service de l’objectif de performance, jamais par ego, protection de périmètre ou besoin de contrôle.

Gérer un portefeuille en profondeur : Diriger un portefeuille ciblé de comptes avec suffisamment de profondeur pour vraiment comprendre les activités, les leviers de performance et les risques de chaque client.

Guider les équipes internes : Collaborer avec les équipes médias, SEO, création, analytique et stratégie afin de faire avancer le travail, clarifier les priorités et aligner les résultats.

Raconter l’histoire dans les données : Transformer les rapports, les tableaux de bord et les analyses de performance en insights que les clients peuvent mettre en action.

Maîtriser les détails : Garder les budgets, prévisions, échéanciers, documents et communications clairs, exacts et à jour.

Exigences

Essentiels

5 ans et plus dans une agence de marketing de performance. Vous avez une expérience en agence ancrée dans la performance, les médias payants et les résultats mesurables — et non principalement dans la marque, la création ou le commerce électronique seulement.

Expérience en leadership de comptes dans un environnement de performance. Vous êtes actuellement Account Director dans une agence de marketing de performance, ou vous avez commencé en marketing, médias payants, analytique ou gestion de campagnes avant de faire la transition vers le leadership de comptes.

Aisance obligatoire avec Google Ads. Vous pouvez parler de Google Ads avec crédibilité et savez quoi examiner lorsque la performance fluctue, que le volume de leads baisse ou que la qualité des conversions change.

Compréhension de l’écosystème marketing moderne. Vous comprenez comment les médias payants, le SEO, la création, les données, le CRM, les sites Web, le CRO et l’analytique se connectent pour générer des résultats.

Solide profondeur en stratégie médias payants. Vous comprenez comment les canaux médias fonctionnent ensemble, particulièrement le search et le social, et pouvez traduire les signaux de performance en stratégie.

Expérience en leadership client. Vous avez géré des relations clients, animé des conversations stratégiques et présenté des recommandations à des parties prenantes seniors.

Expérience en gestion de comptes ciblée. Vous avez l’habitude de diriger un portefeuille significatif de clients en profondeur — environ 3 à 8 comptes — plutôt que de répartir votre attention sur une longue liste à haut volume avec peu de profondeur.

Expérience avec des budgets médias significatifs. Vous avez travaillé avec des clients qui investissent au moins 50 000 $ par mois en médias par client; 100 000 $ et plus par mois est fortement souhaité.

Mentalité orientée affaires. Vous parlez de revenus, de pipeline, de qualité des leads, de parcours de conversion, de parcours client et de résultats d’affaires — pas seulement de CTR, de CPC et de métriques de plateforme.

Peu d’ego, beaucoup d’ownership. Vous êtes prêt ou prête à construire le tableau de bord, chercher la réponse, clarifier l’ambiguïté ou combler l’écart lorsque l’équipe en a besoin.

Fortement souhaités

Expérience en B2B, génération de leads ou ventes complexes. Une expérience avec des cycles d’achat plus longs, la qualité du pipeline, l’alignement avec les ventes ou des parcours de conversion non DTC est un grand atout.

Aisance avec Meta, LinkedIn, le SEO, le CRM, le CRO ou d’autres canaux. Vous n’avez pas besoin d’être expert ou experte dans chaque canal, mais vous devez comprendre comment ils fonctionnent ensemble.

Expérience dans les services financiers, la santé, l’éducation, le SaaS ou d’autres secteurs à achat réfléchi.

Aisance avec les tableaux de bord, les outils de reporting, Google Analytics et la visualisation de données.

Expérience en mentorat auprès de membres d’équipes de comptes ou en coordination d’équipes de livraison interfonctionnelles.

Attentes liées à l’IA

Chez Level, l’IA est une compétence — pas un raccourci. Dans ce rôle, on s’attendra à ce que vous puissiez :

Utiliser des outils comme ChatGPT, Midjourney, Claude et Perplexity pour améliorer votre façon de travailler

Partager vos prompts, vos améliorations de processus et vos idées avec l’équipe

Expérimenter régulièrement et raffiner vos façons de travailler au fil du temps

Accueillir l’inconfort comme une partie normale du processus d’apprentissage

Appliquer les outils d’IA pour augmenter votre vitesse, votre clarté et votre créativité — sans remplacer un travail réfléchi

L’IA devrait vous rendre plus aiguisé ou aiguisée, plus rapide et plus stratégique. Elle ne devrait jamais remplacer le jugement, le goût, l’imputabilité ou un point de vue solide.

Nos valeurs fondamentales

Pas d’ego, engagement total

Chez nous, « ce n’est pas mon travail » n’a pas sa place. Nous gagnons ensemble, nous prêtons main-forte là où il le faut, et nous nous soucions davantage du résultat que de l’organigramme.

Meilleur chaque jour

Nous voulons recevoir du feedback — même lorsqu’il pique un peu. Nous testons, apprenons, nous adaptons et continuons à élever la barre.

Obsédés par les résultats

L’activité ne vaut rien sans résultats. Ce qui compte pour nous, c’est le travail qui fait avancer l’entreprise.

Guidés par la vérité

Nous remettons les hypothèses en question, suivons les données et disons aux clients ce qu’ils doivent entendre — pas seulement ce qui est facile à dire.

Avantages et bénéfices

Chez Level, nous soutenons nos équipes aux États-Unis et au Canada grâce à des avantages conçus pour favoriser la flexibilité, le bien-être et la croissance à long terme.

Télétravail complet partout aux États-Unis et au Canada, allocation mensuelle pour le travail à domicile et vendredis d’été

Congés généreux, incluant des congés payés illimités aux États-Unis, des vacances concurrentielles au Canada et des options de congé parental/familial

Assurances collectives complètes, soutien en santé mentale, et assurance invalidité et assurance vie payées par l’entreprise

Cotisations de retraite de l’employeur : 401(k) aux États-Unis et contribution REER au Canada

Évaluations de performance trimestrielles et occasions d’avancement professionnel

Télétravail d’abord

Ce poste est ouvert aux personnes résidant aux États-Unis et au Canada et est entièrement en télétravail. Nous ne sommes pas en mesure de commanditer des visas pour le moment.

Level est fondée sur l’inclusion

Nous sommes engagés envers la diversité, l’équité, l’inclusion et l’appartenance. Level est fière d’être un employeur souscrivant au principe de l’égalité d’accès à l’emploi — nous célébrons ce qui fait de vous une personne unique.

Prêt ou prête à postuler?

Cliquez ci-dessous pour soumettre votre CV. Vous répondrez aussi à quelques questions réfléchies, alors prenez le temps qu’il faut.

Ce qui nous importe le plus, c’est votre façon de penser, votre façon de diriger et votre capacité à créer de l’impact — pas que votre parcours ait été parfaitement linéaire.

Bâtissons quelque chose ensemble.

Description

\*\* This is an opportunity to join our team of top-notch modern work engineers working closely together on interesting projects for our clients. This position is fully remote (indefinitely). **

We are hiring a senior Modern Work Engineer focused on Microsoft Copilot and SharePoint solutions. This role combines hands-on solution development with client-facing delivery, scoping, and training. You will design Copilot agents, lead discovery and scoping conversations, lead training sessions, and support Microsoft 365 initiatives across a range of client environments.

You will work across multiple client engagements, moving between solution architecture, solution design and delivery, SharePoint configuration, pre-sales support, user training, and post-implementation recommendations. This is a project-based role where communication, ownership, and adaptability are just as important as technical depth — both in shaping what gets built and in helping clients understand and adopt the solutions you build.

Highlights & Benefits of working at Emergent Software

• Work closely with other talented Modern Work engineers and team members. Our vetting process means you can count on your team members to know what they are talking about.

• Work from home or work remotely from anywhere you want

• Flexible work schedule meaning you can work regular hours or whenever you work best

• Work-life balance is essential and highly valued at Emergent Software. If you choose to work more than 40 hours, you’ll be compensated for the extra work!

• Work on interesting projects solvingcomplex business problems with software solutions.

• 100 hours per year to focus on your professional development. We invest in your growth!

• Grow your career without leaving the tech track. At Emergent Software, deep technical expertise is valued as much as leadership — with clear career paths for those who want to stay hands-on, no management transition required.

• Profit sharing bonus means as we’re successful, you’re successful

• Excellent benefits package including medical insurance, dental, vision, 401(k) matching, FSA, disability, life insurance, and paid parental leave

Typical Tech Stack

• Microsoft Copilot and Copilot Studio

• Microsoft 365: SharePoint, Teams, OneDrive, Exchange

• Entra ID

• Microsoft Purview and Data Loss Prevention

• Microsoft Intune

• Power Platform: Power Automate and related tools

• SharePoint migration tools: ShareGate, Migration Manager

Responsibilities

• Design and deliver Microsoft Copilot and Copilot Studio solutions tied to real business processes and workflows

• Lead scoping and discovery conversations with prospective clients, translating business goals and pain points into defined project scope, timelines, and deliverable frameworks

• Contribute to pre-sales efforts including solution architecture reviews, proposal development, and client-facing presentations that demonstrate technical credibility

• Identify where AI and automation can add genuine value for clients, then build it

• Lead training sessions for both technical teams and business users across Copilot and Microsoft 365

• Design and configure SharePoint Online environments: site structure, permissions, and information architecture

• Support SharePoint migrations and document management initiatives with usability and governance in mind

• Manage priorities across multiple active client engagements in a delivery-based model

• Partner with senior engineers on complex solutions and contribute to shared team knowledge across all areas of Modern Work

• Communicate technical concepts clearly to business stakeholders at any level of technical depth

• Monitor Microsoft’s Modern Work roadmap and help translate emerging capabilities into proactive client recommendations and internal practice development

Required Qualifications

• Hands-on experience with Microsoft 365; SharePoint, Teams, Entra, and core admin capabilities

• Demonstrated experience designing and delivering Microsoft Copilot or Copilot Studio solutions in production client environments

• Strong communication skills; comfortable explaining technical concepts to non-technical audiences

• Experience in a client-facing or consulting environment

• Proven ability to independently manage competing priorities and client relationships across simultaneous engagements

• Deep track record of translating complex business requirements into practical, scalable technical solutions with measurable outcomes

• A self-starter mindset with strong problem-solving skills and a drive to keep learning

• A track record of translating business requirements into practical technical solutions

Nice to Have Experience

• Experience building Copilot Studio agents or AI-driven solutions in a business context

• SharePoint migration experience with tools like ShareGate or Migration Manager

• Power Platform experience (Power Automate or related tools)

• Consulting or MSP background with project-based delivery

• Microsoft certifications: SC-300, SC-401, MS-102, or MS-700

• Experience delivering training or presenting to larger audiences

• Experience contributing to pre-sales, SOW development, or solution scoping in a consulting or MSP environment

Our Vetting Process

At Emergent Software, we’re selective about who we bring on — because the quality of our team is what allows us to do great work for our clients. The effort candidates put into our process reflects the standard we hold across the board, and it’s what makes this team worth being part of. Here’s what our vetting process looks like for this position:

1. Application (5 minutes)

2. Online Assessment (~50 minutes)

3. Initial Phone Interview (30-45 minutes)

4. Technical Interview (60-90 minutes)

5. Final Interview (60 minutes)

6. Job Offer!

Benefits Package Details

• Medical Insurance: up to 84% of your monthly medical premium (HSA options available)

• HSA Contribution: up to $200/month

• Dental & Vision Insurance: up to 50% of your monthly dental and vision premium costs

• 401(k) plan: company match up to 4% of salary

• Profit sharing bonus: up to 15% of salary paid quarterly

• Extra compensation: get paid extra for work over 40 hours/week

• Employee referral & customer referral bonuses

• Flex Spending Account (FSA) for Dependent Care & Healthcare Costs

• Short Term Disability: $500/week for 12 weeks

• Long Term Disability: up to $6,000/month

• Group term life and AD&D insurance: $50k

• PTO, standard holidays, 2 floating holidays

• Paid parental leave

• Staff development program: 100 hours/year plus training costs

About Emergent Software

Emergent Software is a fast-growing software development, cloud consulting, and data engineering company serving clients across the country. We are regularly adding to our team of talented software engineers, cloud architects, data engineers, UX designers, technical product owners and more who can help us deliver high quality services for our clients.

We are a remote-first company

Since our inception, we’ve embraced a remote-friendly culture, promoting work flexibility beyond the norm. When the pandemic struck in 2020, our transition to fully remote work was seamless—just a matter of cleaning out the fridge. Recognizing an opportunity, we adopted a remote-first approach and began hiring talent from anywhere. We continue to offer our signature Minnesota-nice, Midwest-friendly attitude, ensuring everyone feels valued, whether or not they’re familiar with the skyway system.

Your career grows with us

Working with talented people on interesting projects creates an engaging environment for software development enthusiasts. By working directly with our experienced team, participating in our staff development program, and solving complex problems across a variety of projects, you’ll find numerous opportunities for long-term career growth.

At Emergent Software, your ideas will be heard, you will grow exponentially as a master of your craft, and you will enjoy working other dedicated team members to deliver software solutions for our clients.

Check out what others say

Visit our Glassdoor page to discover how employees enjoy our remote working structure, flexible hours, profit sharing program, and more!

#EmergentSoftware

#IND1

Job Title: Deputy Head of Safeguarding UK - Maternity Cover

Reports to: Head Safeguarding

Direct Reports: Safeguarding Manager

Remote based

Closing date: 3/6/26

Kooth is a fast-growing, mission-driven organization transforming access to digital mental health support across the UK and the US. Listed on the London Stock Exchange (LSE:KOO), our mission is to create welcoming, accessible spaces for personalized mental health care that helps young people thrive.

Working alongside the NHS, Kooth is now the UK’s largest digital mental health platform for young people aged 10–25, built on over one million hours of professional support delivered to youth across the country.

In the US, we bring this mission to life through Soluna — California’s first statewide digital behavioral health platform for 13–25-year-olds — providing nearly immediate access to coaching, care navigation, peer support, and self-guided tools that help young people build resilience and access support when they need it most.

At Kooth, we’re more than a digital service. We’re purpose-driven, people-centered, and grounded in our values: Alongside You, Flexible, Compassionate, Committed, and Safe. If you’re looking for meaningful work with measurable impact, you’ll find it here.

Learn more at Kooth and Soluna.

Role Objective

To support the Head of Safeguarding in ensuring the effective implementation of safeguarding and user safety frameworks,  and, lead the safeguarding team’s operations function.

Split of the role

Safeguarding - 40%

Stakeholder Management - 20%

Management & Leadership - 20%

Clinical Governance - 10%

Training - 10%

Main responsibilities:

• Support the Head of Safeguarding in leading on strategy to ensure that the organisation meets its responsibilities to safeguard CYP and adults and is continuously developing excellence in safeguarding within digital mental health
• Deputise for the Head of Safeguarding for the organisation across all areas of safeguarding responsibility, enabling an open culture where safeguarding is everyone’s responsibility
• Act as the lead professional for specific safeguarding areas (eg. PREVENT, Domestic Abuse) as delegated by the Head of Safeguarding
• Manage the integration of Kooth’s services with relevant local multi-agency safeguarding structures and  provide oversight of the safeguarding team’s policies, processes, advice and guidance for multi-agency working
• Support, and in some cases lead, the on-going development of safeguarding policies and procedures, ensuring they are evidence based, effective and meet the appropriate legislation/statutory guidance and support the implementation and communication of these within the organisation.
• Liaise across the organisation in organising and ensuring all commissioned areas have their contractual and statutory safeguarding reporting and auditing completed to a high quality, within deadlines.
• Support in ensuring that any relevant local area Safeguarding CYP/Adult partnership policies, regional and national guidelines and recommendations are disseminated and embedded into practice.
• Ensure organisational compliance in safeguarding required by legal, regulatory and national policy standards and demonstrate this through effective auditing, data collection and report writing.
• Attend relevant Safeguarding board meetings with local commissioning groups as appropriate and act as a reference point for partner agencies involved in Safeguarding to ensure advice and liaison is co-ordinated and effective.
• Manage the Clinical Team’s On Call service ensuring it remains consistently operational to a high standard
• Line manage the Safeguarding Manager and provide operational leadership to the Safeguarding Team, continuously developing excellence in safeguarding advice, guidance and liaison.
• Proactive engage in regular safeguarding supervision and appraisal to enhance self-development and career pathway and to ensure that practice is effective and compliant with the most up to date guidance.
• Co-produce and quality assure safeguarding related training, in conjunction with the Clinical Training Team in providing specialist training across the organisation within relevant areas of specialism.
• Lead the operational response for the company’s User Safety Incident Response Framework, ensuring all incidents are sufficiently investigated and generate learning, in line with the NHS PSIRF
• Ensure all learning from user safety incidents and safeguarding quality assurance processes is sufficiently leading to the necessary safety improvements as approved by the Head of Safeguarding and executive and board level safeguarding representatives.

This is not an exhaustive list and postholder may be required to complete additional duties with scope of capability as per the clinical team needs.

Experience / Qualifications

Essential:

• Registered safeguarding professional (eg. Social Worker, Health professional, Teacher or Police Officer)
• Minimum of 6 years post qualification experience.
• Demonstrable leadership experience in safeguarding practice
• Trained to a minimum of level 4 safeguarding children and adults in line with NHS Intercollegiate Document
• Experience of working with mental health service users

Desired:

• Experience in the digital health sector

Are you looking for a fulfilling career with attractive perks and a supportive work environment? Look no further! We’re excited to offer an incredible opportunity with a range of benefits that cater to your professional growth, well-being, and work-life balance.

1. Competitive Salary:

Dependant on experience up to £55,000

2. Generous Annual Leave

Enjoy 28 days of annual leave, in addition to public holidays, providing you ample time to recharge and spend quality moments with your loved ones.

3. Professional Development

Benefit from our yearly professional training programmes, tailored to your career aspirations and designed to enhance your skills and knowledge.

4. Financial Security

Secure your financial future with our pension contributions and annual company share option awards, giving you a stake in the success of the company.

5. Health and Well-being

Prioritize your health and well-being with our comprehensive AXA plan and access to an Employee Assistance Programme (EAP). The EAP offers 24⁄7 telephone mental health support and access to GP consultations, ensuring your mental and physical health are taken care of.

6. Life Assurance:

Gain peace of mind knowing that you’re covered with life assurance, providing up to four times your annual salary to your loved ones in the unfortunate event of your passing.

7. Flexible Working

Embrace the flexibility of remote working, allowing you to create a work-life balance that suits your needs and maximizes your productivity.

8. Lifestyle Benefits

Participate in the Cycle to Work Scheme, promoting a healthy and eco-friendly lifestyle, and take advantage of our Incapacity Income Protection to safeguard your financial stability in case of unforeseen circumstances.

If you’re seeking a stimulating career where your well-being, growth, and contributions are valued, we invite you to apply and become a part of our dynamic and supportive team. Join us as we strive for success together!

At Kooth, we are committed to fostering an inclusive and diverse workplace that values and embraces the unique contributions of every individual. We believe in equal opportunities for all, regardless of race, colour, religion, gender, gender identity or expression or sexual orientation.

Our dedication to creating a fair and unbiased environment is reflected in all aspects of our recruitment, hiring, and employment practices. We strive to provide a work environment that is free from discrimination, where every employee is treated with respect and dignity.

Request for Reasonable Adjustments:

We are dedicated to providing reasonable adjustments to applicants and employees with disabilities or individuals who require accommodations to participate in the application process, interviews, or job-related tasks. If you require any reasonable adjustments to ensure your equal participation in our recruitment process, please inform our Human Resources team.

Your openness will allow us to work together to provide appropriate accommodations and ensure a fair and accessible application and employment experience for everyone.

Kooth plc is committed to our responsibilities for safeguarding and promoting the welfare of children, young people and vulnerable adults . We are committed to recruiting candidates who share this commitment to safeguarding, and therefore we apply robust recruitment and selection procedures to ensure that the people selected are right for the job, and that all candidates are appropriately screened prior to appointment. This will include a DBS check.

Senior Product Designer @ Secfix

Location: Remote (EMEA) · CET/CEST timezone

Hi — I’m Grigory, co-founder and CTO at Secfix.

How do you feel about owning a feature from the first customer conversation to the version that’s live on production — writing the spec yourself, pairing closely with engineers through the build, and overseeing your design shipped on production exactly the way you designed it? If that sounds like the right shape of the job — designer who owns, not designer who hands off — read on.

I’ve spent most of my career believing the best designers aren’t the ones with the prettiest Figma files. They’re the ones who can frame a problem, write a spec, sit with engineers through the build, and own that what shipped is what they designed. Our founding product designer, Ghada, has been doing exactly that since we started. The engineering team has doubled and we’re shipping faster than we ever have. We’re hiring the second designer because there’s more good work to do than one person can hold — and we’d rather ship twice as much than slow down.

Why Secfix exists

Over 1.78 million SMBs in Europe need to comply with security frameworks — ISO 27001, GDPR, TISAX, SOC 2 — just to sell to enterprise customers. The process is manual, painful, and takes over a year. We automated it.

Our platform integrates with a company’s full tech stack — AWS, Azure AD, Jira, GitLab, GCP, and more — automatically extracts compliance evidence, and guides teams to certification in weeks instead of months. Our fastest customer certified in 4 weeks instead of the industry-standard 12+ months.

We’ve raised €17M in total (€12M Series A), backed by Alstin Capital, Neosfer (Commerzbank), and Bayern Capital. We’re on a profitable trajectory, growing fast, and building the team that will take us to European market leadership.

This space is not threatened by AI, it’s amplified by it. Compliance requires deep domain expertise combined with automation. Our new AI product (CISO AI) is just getting started, and there’s a huge amount of product design work ahead: agentic workflows, intelligent evidence collection, context-aware policy generation, and more.

What we believe

Compliance software has historically been built like the audit it automates — heavy, defensive, ugly. We’re building something else. The customer is a real person trying to ship audit-ready evidence on a Friday afternoon. The product should respect their time, automate the boring parts, and make the rest feel calm.

Quality is the product. Most of our category competes on feature lists. We compete on craft. A clear empty state, a sync that doesn’t lie, a settings page that holds together at eleven permission tiers — these are the things customers feel before they can name them. Design at Secfix is not what wraps the product. It’s most of what makes it work.

What the role is

We expect strong design skill, strong product thinking, and the ability to hold your own in a technical discussion. You work in a small team — usually with one or two engineers — and pair closely from the first prototype through to production. You own the project from beginning to end.

Alongside the features you ship, you do three things that make everyone else faster:

• Maintain the components and patterns that make design fast.

• Own how the team ships. We have no PMs. You write the specs, run the ticketing workflow, keep engineers unblocked.

• Build the tools and skills — Cursor rules, design QA skills, prompt templates — that let engineers do good design work without you in the room.

The leverage is doing all four well. Doing only one is the wrong shape.

How we work

• No PMs. Designers and engineers run product. You talk to customers, frame the problem, write the spec, decide what ships.

• Small temporary teams. You plus one or two engineers per project. Whoever is closest to the problem leads.

• Design leads the logic, engineering tests feasibility. You bring the V1. Engineers push back on what’s expensive or risky, start ahead with system design. They help spot edge cases. You adjust it fast. We get from v1 to v4 in matter of hours or few days.

• Prototype-grade, not wireframes. Real components, real states, real copy. Sometimes an LLM-built prototype before Figma. The component library stays current because the speed of design depends on it.

• Handoff is the beginning, not the end. You’re in the engineering channel. You review the PR. You verify on production. Staging QA is the first gate, not the last.

• In-sync culture with thoughtful coms mindset. Loom for reviews, Notion for specs, quick loops in Gather where written coms doesn’t cut it, all happening in the same time zone. Team mates are reviewing things quick. Engineers and designers spend under two hours weekly meetings.

• AI is part of the craft. We use Claude to pressure-test ideas, draft specs, surface edge cases, write test cases. Not to skip thinking.

The first three months

• Month 1. Ship your first design to production. Get into the codebase, the customer language, the way we write specs. Sit on customer calls.

• Month 2. Own a full feature end-to-end. Customer conversations, problem framing, Figma, spec, engineer pairing, PR review, production verification.

• Month 3 and beyond. Push the design system forward. Start building the tools and skills that make engineers faster at design. Improve the product design process. The bar is yours to defend.

Who you are

• 8+ years designing B2B SaaS desktop applications as Staff/Principal Product Designer or similar. Dense interfaces — tables, filters, permissions, settings pages.

• You’ve been the only designer, or one of two or three, in companies under 50 people at least once before. You know how to set the bar without a design org behind you.

• Your portfolio is “I,” not “we.” You can name the engineer you paired with on each feature, the design decision you defended through the build, and what happened when the feature reached users.

• You communicate clearly and concise in English: in Slack, in docs and on a call.

• You’re fast in Figma with or without AI. You’re already in a serious relationship with LLMs.

• You treat engineering feasibility as input, not constraint. When an engineer says “three weeks, here’s why,” you find the version that’s 80% as good and ships next week.

• You’re comfortable doing product work without the PM title.

• You hear feedback and come back the next day with something better. You don’t spend the hour in between defending the version that’s already outdated.

Compensation

Salary + equity based on experience. The offered compensation depends on the individual’s qualifications assessed during the interview process.

What we offer

• Generous equity. Everyone is an owner.

• 26 days holiday + local public holidays.

• Comprehensive health insurance.

• €1,000 annual personal development budget.

• Remote workspace and co-working budget.

• Latest equipment.

• Team summits 1-2x per year. Recent ones: Costa Brava, Austrian Alps, Milan.

• Local hubs in Munich, Berlin, London. Visa support if you want to relocate.

Interview process

We aim to invite you to a first conversation within a week and give feedback after every stage.

• Intro call with talent team

• Portfolio conversation with product designer (~45 min)

• Take home design exercise and presentation (~3 hours)

• Virtual team onsite (~2 hours)

Order may flex depending on availability. If you make it to the exercise and don’t get an offer, we’ll tell you specifically what got in the way.

Learn how we think and work

• How we designed remote culture at Secfix

• Thoughtful communication at Secfix

• Building production-grade product with AI in 2026

• Building what customers need, not what they ask for

• Our zero-bug policy

• Crafting quality that endures — Karri Saarinen’s Config talk

We are an equal-opportunity employer and a remote-only company. We hire within EU time zones. We work in sync using Gather as our virtual office and don’t support fully asynchronous work.

Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. Our collaborative, client-first service approach, combined with our commitment to the rapid implementation of pragmatic solutions, has earned Trilogy an unparalleled reputation for delivering transformative results.

Trilogy Federal is looking for a remote Power BI Developer with knowledge and experience in Power BI to support current and future opportunities on high-priority projects for a large Federal agency. This role comes with a focus on supporting external customers with analyzing current data and reporting needs, developing technical solutions using Power BI, with a strong focus and skillset with Power Apps and Power Automate, implementing and testing technical reporting solutions, and supporting end users with reports.

Primary Responsibilities:

• Attend and participate in meetings with client stakeholders
• Build interactive reports and dashboard using the Microsoft BI technologies including Power BI and SSAS, as well as Oracle 19c – strong focus on Power Apps and Power Automate
• Develop reports and business models using Power BI (including DAX language)
• Experience with Microsoft Azure platform and service (Power BI, Azure SQL Data Warehouse, Azure Synapse, Azure Data Factory)
• Experience with SQL and RDBMS data structures in a reporting context
• Assist business users on functional and data requirements to enhance reports and report data
• Experience in requirement analysis, design, and prototyping
• Strong understanding of Data Analytics application security layer models
• Experience with Enterprise Resource Planning (ERP) or Federal Financial Management solutions

Minimum Requirements:

• Bachelor’s degree Computer Science, Accounting, Information Systems, Data Analytics, or similar
• 8+ years of total experience related to Power BI (focus on Power Apps and Power Automate)
• 3+ years of experience in writing SQL
• 2+ years of development experience with Java Script, CSS, and other java script libraries
• 2+ years of development experience in Data Analytic technologies such as: Microsoft – Power BI, Tableau, MicroStrategy, Business Objects, Web FOCUS
• 2+ years of development experience with Java Script, CSS, and other java script libraries
• 2+ years of experience with Microsoft Power Platform (PowerApps, Power Automate)
• Experience with Python a plus
• The ability to obtain a Public Trust clearance

Preferred Qualifications:

• VA or Federal experience preferred

Benefits (including but not limited to):

• Health, dental, and vision plans
• Optional FSA
• Paid parental leave
• Safe Harbor 401(k) with employer contributions 100% vested from day 1
• Paid time off and 11 paid holidays
• No cost group term life/AD&D plan, and optional supplemental coverage
• Pet insurance
• Monthly phone and internet stipend
• Tuition and training reimbursement

$115,000 - $125,000 a year

This range is not a guarantee of compensation or salary, as Trilogy Federal conducts an individual equity review for every candidate based on experience, location, education, industry experience, and comparisons to internal pay bands. In addition to salary, Trilogy offers robust benefits including medical/dental/vision insurance coverage, 401(k) match, paid holidays, paid time off, tuition reimbursement, and a very supportive work/life balance.

Trilogy Federal is an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Company Description

Devexperts works with respected financial institutions, delivering products and tailor-made solutions for retail and brokerage houses, exchanges, and buy-side firms. The company focuses on trading platforms and brokerage automation, complex software development projects, market data products, and IT consulting services.

Job Description

We are looking for a Senior/Staff Backend Engineer to join the team.

Out client is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. The project has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We ensure code quality by performing careful code reviews and various types of testing.

We expect the Senior/Staff Backend Engineer to:

• Be responsible for leading the design, development, and implementation of the brokerage systems.
• Work closely with the engineering team and other stakeholders.
• Create scalable, low-latency, and highly available trading systems.

Qualifications

Must-have skills:

• 6+ years of backend development experience with expertise in Java,
• Background in financial technology or capital markets is required,
• Solid understanding of system design principles,
• Proven experience implementing sophisticated event-driven architectures with Kafka (or similar) and Kubernetes,
• Strong understanding of CI/CD and automated testing frameworks,
• Proficient in No SQL, SQL such as in Postgres/MySQL,
• Solid understanding of TDD and how to write effective unit/integration tests,
• B2+ English to be able to communicate with a US customer.

Nice-to-have skills:

• Domain knowledge in options and margin trading
• Experience with AWS stack,
• Experience with Linux and writing scripts to extract and transform data,
• Experience working in high-load systems,
• Understanding trade-offs in distributed systems.
• Hands-on experience in concurrent programming.

Our interview process typically includes:

1. Recruiter screening
2. Tech interview (Devexperts)
3. Tech interview (Client)
4. Final call + offer (collect feedback + present the offer)

Additional Information

Care for the employees is one of Devexperts’ core values. For the suggested position, we offer a benefits package that will guarantee the comfort of our new teammate.

Work Regime Flexibility benefits:

• Possibility ofhybrid/remote work mode,
• Flexible working hours.

Health and recreation benefits:

• Fully paid additional wellness days (3 unwell days per year),
• Medical insurance for the employees and children,
• Reimbursement of fitness / Urban Sports Club Membership,
• Meal allowance (Coverflex Card),
• Flexpay system (Coverflex).

Facility benefits:

• Modern office with new equipment,
• PlayStation, table football, and musical instruments in the office,
• Parking spaces/transport reimbursement,
• Free drinks and snacks.

Community benefits:

• Teambuilding activities,
• Corporate parties,
• Football Club,
• Music club,
• Speakers’ club,
• Free admission to corporate external events,
• Possibility of joining conferences and professional fairs,
• Personal branding development support.

Professional training benefits:

• Local language courses for foreign employees,
• Unlimited access to self-learning platforms,
• Certification opportunities,
• Mentorship Program.

Social benefits:

• Parental bonus,
• Pension plan (Coverflex),
• Referral bonus,
• Blood donation paid leave.

Description

**This is an opportunity to join our growing cloud infrastructure practice and shape how Emergent delivers DevOps to our clients. This position is fully remote (indefinitely). **

Emergent Software is looking for a DevOps Architect to lead the technical direction of our DevOps practice within the cloud infrastructure team. A qualified candidate has deep experience with Azure infrastructure, Infrastructure as Code, and CI/CD, paired with a track record of authoring standards, mentoring engineers from mixed backgrounds, and representing technical practices in client-facing pre-sales conversations. This 100% remote position is for someone who enjoys building the playbook as much as executing on it, and who can move comfortably between writing IaC modules, reviewing a junior engineer’s pull request, and leading an architecture discussion with a client’s CIO.

Highlights & Benefits of working at Emergent Software

• Work closely with other talented engineers and team members. Our vetting process means you can count on your team members to know what they are talking about.

• Work from home or work remotely from anywhere you want

• Flexible work schedule meaning you can work regular hours or choose weekends and evenings

• Work-life balance is essential and highly valued at Emergent Software. If you choose to work more than 40 hours, you’ll be compensated for the extra work!

• Shape a growing practice. The demand for our DevOps services is expanding quickly, and this role has direct influence over how the team scales.

• 100 hours per year to focus on your professional development. We invest in your growth!

• Grow your career without leaving the tech track. At Emergent Software, you can advance and be recognized as a technical expert without transitioning into people management. We value deep technical expertise as much as leadership and have established clear career paths for those who want to stay hands-on.

• Profit sharing bonus means as we’re successful, you’re successful

• Excellent benefits package including medical insurance, dental, vision, 401(k) matching, FSA, disability, life insurance, and paid parental leave

Typical Tech Stack

• Microsoft Azure (compute, networking, identity, PaaS)

• Terraform, Bicep, and Ansible for Infrastructure as Code

• Azure DevOps and GitHub Actions for CI/CD

• PowerShell, Bash, and Python for automation and tooling

• Azure Kubernetes Service (AKS), Azure Container Apps (ACA), and Docker where containerization is required

• Azure Monitor, Log Analytics, and Application Insights for observability

• Azure Policy, Defender for Cloud, and Entra ID for governance and security

Primary Duties

• Own the technical direction of Emergent’s DevOps practice, including the IaC standards, pipeline patterns, code review expectations, and reference architectures that the team applies across client engagements.

• Author and maintain the internal documentation, templates, and modules that the team relies on day to day. This is a core part of the role, not a side task.

• Mentor a team of engineers from mixed backgrounds, including software developers growing into cloud roles and traditional cloud engineers building DevOps fluency. Pair, review pull requests, run office hours, and raise the technical bar across the group.

• Lead the most complex DevOps engagements end to end, from discovery through delivery, with a focus on environments where scale, regulatory requirements, or legacy constraints demand strong technical judgment.  This includes grooming backlog work and feature & task assignments to project team as well as influence technical direction across practice areas.

• Represent the DevOps practice in pre-sales. Partner with sales and account teams to scope work, lead technical discovery sessions, contribute to proposals, and build client confidence in Emergent’s approach.

• Continuously evolve Emergent’s DevOps practice by evaluating new tools, patterns, and approaches, and bringing the right ones into the team’s standard playbook.

• Diagnose and improve existing client systems that may be partially implemented or inconsistently managed, balancing pragmatic delivery with long-term maintainability.

• Accurately track time and work performed to support client billing, project planning, and overall project health, as part of a professional services delivery model.

• Strong time management skills to be able to prioritize workload, meet deadlines, and provide technical support and guidance for other DevOps focused team members.

• Share your knowledge at regular talk shop and lunch & learn sessions to help build a stronger team.

• Other related duties as assigned by your manager.

Required Qualifications

• 8+ years of hands-on experience with cloud infrastructure, with deep expertise in Microsoft Azure across compute, storage, and governance

• Deep networking expertise in Azure, including designing topologies from the ground up (segmentation strategy, hub-and-spoke or virtual WAN, cross-region connectivity, on-premises integration), as well as working fluently with virtual networks, ExpressRoute, VPN Gateways, and private endpoints. Comfortable diagnosing connectivity issues across hybrid environments.

• Strong identity and security fundamentals, including Entra ID, RBAC, managed identities, and secure access patterns

• Advanced experience authoring production Infrastructure as Code, including modular Terraform or Bicep with strong opinions on idempotency, reuse, environment parity, and safe change management

• Proven track record designing and operating CI/CD pipelines at scale using Azure DevOps, GitHub Actions, or comparable tooling

• Experience designing disaster recovery and high availability strategies in Azure, including defining RTO and RPO targets, multi-region patterns, and failover testing

• Experience designing for cost efficiency at scale, including tagging strategies, reservation and savings plan planning, and ongoing FinOps practices

• Demonstrated experience writing and maintaining technical standards and internal documentation that other engineers actively use. Be prepared to share examples.

• Experience mentoring engineers, including those transitioning into cloud or DevOps from adjacent backgrounds

• Comfortable leading client-facing technical conversations, including pre-sales discovery and architecture reviews

• Previous consulting or professional services experience

Nice to Have Experience

• Experience leading a DevOps or platform engineering practice at a consulting firm, system integrator, or internal platform team

• Working directly with customer teams of various sizes, from small businesses to enterprise

• Familiarity with the .NET ecosystem and the deployment patterns associated with it

• Experience with AKS and Kubernetes in production

• Experience implementing DevSecOps practices, including secret management, policy as code, and supply chain security

• Familiarity with Zero Trust Network Access (ZTNA) and Global Secure Access patterns

• Familiarity with third-party observability platforms such as Datadog, New Relic, or Grafana, which clients may bring into their environments

• Relevant Microsoft and industry certifications such as AZ-400, AZ-305, Terraform Associate or Professional, GitHub Actions or Copilot, or Certified Kubernetes Administrator

Our Vetting Process

At Emergent Software, we work hard to find the best people capable of delivering high quality services to our clients. If you think you’re one of those, please understand that the effort put into this by people like yourself helps us be successful in surrounding you with other top-notch people. Here are the steps of our vetting process for this position:

1. Application (5 minutes)

2. Online Assessment (40-50 minutes)

3. Initial Phone Interview (45-60 minutes)

4. Hiring Manager Interview (30 minutes)

5. Take Home Challenge

6. Technical Interview (60 minutes)

7. Job Offer

Benefits Package Details

• Medical Insurance: up to 84% of your monthly medical premium (HSA options available)

• HSA Contribution: up to $200/month

• Dental & Vision Insurance: up to 50% of your monthly dental and vision premium costs

• 401(k) plan: company match up to 4% of salary

• Profit sharing bonus: up to 15% of salary paid quarterly

• Extra compensation: get paid extra for work over 40 hours/week

• Employee referral & customer referral bonuses

• Flex Spending Account (FSA) for Dependent Care & Healthcare Costs

• Short Term Disability: $500/week for 12 weeks

• Long Term Disability: up to $6,000/month

• Group term life and AD&D insurance: $50k

• PTO, standard holidays, 2 floating holidays

• Paid parental leave

• Staff development program: 100 hours/year plus training costs

About Emergent Software

Emergent Software is a fast-growing software development, cloud consulting, and data engineering company serving clients across the country. We are regularly adding to our team of talented software engineers, cloud architects, data engineers, UX designers, technical product owners and more who can help us deliver high quality services for our clients.

We are a remote-first company

Since our inception, we’ve embraced a remote-friendly culture, promoting work flexibility beyond the norm. When the pandemic struck in 2020, our transition to fully remote work was seamless—just a matter of cleaning out the fridge. Recognizing an opportunity, we adopted a remote-first approach and began hiring talent from anywhere. We continue to offer our signature Minnesota-nice, Midwest-friendly attitude, ensuring everyone feels valued, whether or not they’re familiar with the skyway system.

Your career grows with us

Working with talented people on interesting projects creates an engaging environment for software development enthusiasts. By working directly with our experienced team, participating in our staff development program, and solving complex problems across a variety of projects, you’ll find numerous opportunities for long-term career growth.

At Emergent Software, your ideas will be heard, you will grow exponentially as a master of your craft, and you will enjoy working other dedicated team members to deliver software solutions for our clients.

Check out what others say

Visit our Glassdoor page to discover how employees enjoy our remote working structure, flexible hours, profit sharing program, and more!

#EmergentSoftware

#IND2

Creative Strategist (Performance Marketing)

Location: Remote in Austin Texas, USA ( We are only considering candidates in the Austin, Texas area)

Salary: $75,000- $85,000 USD plus bonus and benefits

About the Role

PetLab Co. is a world leader in the DTC pet supplement market with a 9-figure revenue, profitable and rapidly growing globally.

In the world of performance marketing (especially for brands like PetLabCo.), a Creative Strategist is the bridge between the Media Buying team (the numbers) and the Creative team (the visuals).

Think of them as a data-driven storyteller. Their job is to ensure that every pixel and every word in an ad is designed to convert, based on actual performance data rather than gut feeling.

This role sits at the intersection of creative thinking, data analysis, and growth marketing. You’ll partner closely with our Paid Media, Video Producers, Organic Social, and Influencer teams to develop high-performing ad creatives that scale customer acquisition and revenue.

Who Will You Report Into?

Hi, I’m Jesper Mansson, Director of Creative Strategy, and we’re seeking a senior-level creative thinker who is obsessed with direct response, passionate about performance, and knows how to lead content strategy that scales.

You’ll be a core strategic partner to our paid, organic, and influencer teams, with a direct impact on how we acquire and retain customers.

If you live and breathe performance creative and want to help shape the future of a 9-figure DTC business, let’s talk

What You’ll be Responsible For:

1. Data Analysis & Performance Auditing – You’ll spend a significant amount of time inside ad platforms (Meta, TikTok, YouTube) Identifying what’s working and why. This will include:

• Analyzing performance metrics such as Hook Rate (3-second views / impressions), Hold Rate (average watch time), CTR, CPA, and ROAS
• Identifying winning creative patterns — for example whether a UGC “vlogger” style outperforms highly produced brand content
• Conducting creative audits to identify which customer pain points resonate most with audiences (e.g., “stinky breath” vs. “expensive vet bills”)
• Translating performance data into clear creative insights and opportunities
• The goal: turn data into creative direction.

2. Creative Ideation & Scriptwriting - Once the data reveals opportunities, You will design the next creative tests. This will include:

• Concept development creating the “big idea” for campaigns and ad series
• Direct-response scriptwriting using proven frameworks such as AIDA (Attention, Interest, Desire, Action)
• Writing high-impact hooks, body copy, and calls-to-action designed to drive conversions
• Storyboarding content to ensure something visually engaging happens every 2–3 seconds to maintain retention
• Developing creative angles aligned with DTC customer journeys and content funnels

You will be responsible for generating large volumes of structured creative tests designed to scale winning concepts.

3. Production Management & Creative Briefing- You willact as the director and translator between strategy and production. This will include:

• Briefing UGC creators and influencers, including hooks to film, key talking points, and specific B-roll shots Providing detailed production briefs that editors and creators can execute quickly Reviewing and providing feedback on drafts from editors and creators
• Ensuring text overlays, pacing, and visual storytelling align with performance best practices
• Maintaining a library of high-performing assets and reusable footage
• Your goal is to turn strategy into scalable content production.

4. Testing Strategy & Iteration – You will design and manage the creative testing roadmap for our paid channels. This will include:

• Designing structured A/B tests that isolate one variable at a time (e.g., Hook A vs Hook B)
• Iterating on winning ads by refining hooks, pacing, messaging, or visuals
• Identifying drop-off points in videos and optimizing content accordingly
• Conducting competitor and market research to stay on top of emerging creative trends
• Ensuring PetLab’s ads remain native to each platform’s

The goal: continuously improve creative performance through structured experimentation.

What Your Day-to-Day Will Look Like:

• 50% Creative ideation and content strategy development
• 25% Campaign briefing, scripting, and production QA
• 25% Performance analysis and data-driven iteration

We’re looking for someone who combines creative instincts with analytical rigor.

You likely have:

• 3+ years of experience in creative strategy or performance creative roles

• Experience working in high-growth, paid social-led DTC brands

• Deep expertise in Meta and TikTok advertising ecosystems

• Strong analytical skills and the ability to interpret performance data to inform creative decisions

• A portfolio of direct-response ad concepts, scripts, or campaigns that delivered measurable results

• A proven track record of driving revenue growth through paid creative

• Experience briefing or directing creators, influencers, or UGC production

• Strong understanding of performance marketing metrics (ROAS, CPA, CTR, Hook Rate, etc.)

• Excellent communication skills — able to present insights and defend creative decisions with data

•   20 days PTO excluding bank holidays

• Company Bonus

• Medical, Vision and Dental Insurance

• Generous Learning and development budget

•   Short-Term and Long-Term Disability Insurance

•   Life Insurance

•   401K

• Work Remote

• Monthly Uber coffee/bagel and lunch

• Monthly Internet Stipend

Petlab Co is an equal opportunity employer that is committed to diversity and inclusion. We encourage all applications irrespective of gender, race, sexual orientation, religion, age, nationality, marital status, and disability. We believe that diversity is at the heart of innovation and we welcome passionate candidates from all backgrounds. Come join the family and see for yourself!

An Introduction to Primer

Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform.

Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we’re building the payments layer the world’s best companies rely on.

Watch our showcase >

Read up on our $100m Series C

Learn more about our culture >

What will the role involve?

Please note: we are looking for someone to work UTC 7 - 9 timezone.

• Become a key Senior member of our growing Support Engineering team at Primer

• Scope the future of Support by advocating internally on priorities, strategy and roadmaps

• Handling tickets and support requests from merchants

• Translating business requirements into technical solutions, and translating complex technical concepts into simple language.

• Creating first-class documentation for both merchants and internal teams.

• Conducting quality assurance and mentoring junior team members.

• Work with leadership to implement internal Support frameworks and processes.

• Speaking with our customers face-to-face and over video calls

• Be an internal ‘Voice of Customer’: Represent our customers and be their advocate, using their feedback to prioritise tasks and projects.

• Collaborating and working closely with our Product, Engineering, Sales, Customer Success and Operations teams to respond to merchant requests.

• Reading and comprehending code across our JavaScript, SQL, Python, React or TypeScript stacks is highly desirable.

What are we looking for?

• Previous experience in a customer facing role with a complex API product, ideally in payments, or B2B.

• Complete understanding of what it takes to provide outstanding Customer Support, end to end, as well as a passion for building a fantastic ‘Support Experience’ - i.e. writing clear documentation, collaborating in tickets etc.

• Expertise in troubleshooting, root cause analysis, effort assessment, and postmortem process.

• Ideally experience working on On-Call and on Incident Management processes, and in drafting Status Page updates.

• An understanding of software testing and wider infrastructure, and a good understanding of the entire development process (design, development and deployment).

• Experience working in a fast-paced and scaling environment, with shifting priorities and last-minute developments. You can assess urgency, complexity and impact, when deciding the priority of a request.

• Highly motivated self-starter who values autonomy and getting things done.

• Great communication & presentations skills - you can make the complicated sound simple and interact with stakeholders, technical and non-technical, alike.

• Confidence and ease in working with technical and non-technical counterparts at some of the largest merchants.

• Empathy, and the ability to see things from the customer’s perspective.

• Creativity and improvisational skills. Great negotiator, and the ability to achieve consensus and know when to compromise.

Our engineering teams work fully remotely and operate within local timezones - if you are not based in the above countries listed but would still like to apply please let us know in your application

🚫 You may not like it here if:

• You enjoy working in an office-setting, we are remote-first and always will be!

• You are not comfortable with shifting context and navigating ambiguity

✅ A typical interview process

• An initial intro call with a Talent Partner

• An interview with the Hiring Manager

• Challenge Stage - Contextualised to the role

• A final, values-alignment interview

What’s the culture like at Primer?

We’re building a culture where people can come and do their best work and enjoy it. We want our people to be proud of the impact that they have at Primer, and of the work that they are doing. You will be working with a team of people who are mission-driven, smart, and reflective, and who are invested in building exceptional products and delivering success for our merchants (and we also know how to have fun along the way).

We work remotely. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships with each other through great remote working practices and thoughtfully designed face-to-face time together. Our heads-together time comes in the form of workations, our annual company retreat, and co-working space access worldwide.

Finally, let’s go ahead and say it. The work that we do is challenging. Scaleups are a challenge, building category defining products is a challenge. You should be prepared for a challenge at Primer. But, there’s a big difference between a challenge and a struggle. The key difference is that the right challenge comes with the right support structures, an acceptance that not everything always goes to plan, a collaborative environment, and a great team around you. It’s never a challenge that you will face alone.

Our benefits

🌍 We are fully remote and globally distributed; and have been since day one

💰 Competitive share options

🌴 Uncapped holiday, with 25 days minimum to be taken

🗣️ Co-working space access

📅 Workations & Company Retreat

💻 The best equipment for your role

🏠 £500 towards your home office setup

🔎 Generous learning budget

🏥 Private Medical Insurance

📈 A broad set of additional perks and benefits ( depending on location)

Don’t meet every single requirement?

At Primer, we’re dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply.

You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees, regardless of background or beliefs.

Primer adopts a zero-tolerance approach to discrimination. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Reports to: Sr. Director of Adversary Tactics

Location: Remote US

Compensation Range: $190,000.00 to $210,000.00  base plus bonus and equity

What We Do:

Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.

Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24⁄7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers’ protection.

Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.

What You’ll Do:

The Huntress Adversary Tactics team has the unique honor of waking up every morning knowing we’re going to make hackers regret targeting our partners and customers. We’re looking for someone who wants to pour their creativity into researching, hunting, and uncovering threats in our customer networks. Competitive candidates have experience leading a team of researchers across the threat intelligence cycle. Candidates should also have experience creating Threat Intelligence reports, advocating for product enhancements, and public speaking.

Threat Intelligence Analysts aggregate threat data from the previous month and build out reports for our customers. These reports may also be used for marketing and help illustrate the value of what Huntress provides to customers and the community. Threat Intelligence Analysts are also responsible for writing blog posts and marketing materials regarding emerging threat trends. They also work closely with Security Researchers and Analysts to obtain more context about threat data.

Familiarity with product management, scripting/development, incident response, malware analysis, configuration management, and antivirus technologies is an additional way to differentiate yourself.

As you can imagine, success doesn’t happen in a vacuum. An effective hunter fosters highly collaborative environments between the Product, Marketing, and Security Operations Center teams to accelerate our mission and secure the 99% of businesses that fall below the enterprise poverty line. This collaboration is needed to produce and prioritize a unified technical vision, ultimately delivering our most impactful features and capabilities.

We defend over 5 million endpoints and 11 million identities, and that number continues to grow each month, across tens of thousands of mid-sized and small business customers. Given this market’s tighter budgets, it’s impossible to assign human analysts to each client. The Adversary Tactics team addresses this challenge head-on by providing input to build and scale highly automated efficiencies—often lightly augmented by our Security Operations Analysts—that make intruders earn every inch of their access while maintaining affordability and healthy gross margins.

Responsibilities:

• Conducts research on emerging adversary tradecraft in the identity space (Microsoft 365, Google) to help scope and conduct hunt missions
• Responsible for aggregating threat data to build out reports for customers to show Huntress’ value, and inform them of various threats that have been seen and reported
• Responsible for creating reports for marketing to show Huntress’ value to the larger community
• Promote Huntress’ reputation through media interaction, public speaking, and blogs
• Works with the Sr. Director of Adversary Tactics, the Security Operations Center, Product, and others to develop the Product and threat operations roadmap
• Provides technical leadership for some members of the Security teams
• Supports the professional development of researchers and others in the organization through coaching and mentorship
• Responsible for enhancing Huntress visibility by ingesting and utilizing IOCs from external threat intel sources
• Responsible for blog posts and other marketing materials regarding threat trends
• Excellent written and verbal communication skills
• Familiarity with utilizing AI in workflows

What You Bring To The Team:

• Minimum of 5 years of experience in the field of Threat Intelligence
• Experience with SIEM tools for scaled log analysis
• Familiarity with detection engineering, detection logic, i.e., Sigma Rules
• Experience researching and scoping threat hunt missions
• Understanding of cybersecurity, threat actors, and end-to-end threat life cycle, including one or more of the following: digital forensics, malware research, incident response, vulnerabilities, and exploits
• Experience with 3rd-party intelligence tools, feeds, and reputation services.
• Experience conducting OSINT gathering and analysis
• Foundational development experience across multiple platforms (e.g., Windows and/or macOS), C/C++, GoLang, and Python (nice to have)
• Proficient knowledge of Windows and/or macOS subsystems and how they interact both at the user and kernel level (nice to have)

What We Offer:

• 100% remote work environment - since our founding in 2015
• Generous paid time off policy, including vacation, sick time, and paid holidays
• 12 weeks of paid parental leave
• Highly competitive and comprehensive medical, dental, and vision benefits plans
• 401(k) with a 5% contribution regardless of employee contribution
• Life and Disability insurance plans
• Stock options for all full-time employees
• One-time $500 reimbursement for building/upgrading home office
• Annual allowance for education and professional development assistance
• $75 USD/month digital reimbursement
• Access to the BetterUp platform for coaching, personal, and professional growth

Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.

We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.

We do discriminate against hackers who try to exploit businesses of all sizes.

Accommodations:

If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response.

Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.

#BI-Remote

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Who We Are

Healthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.

We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.

In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals, supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.

Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health.

The Role

We’re hiring a strategic and commercially astute Enterprise Customer Success Manager to lead the end-to-end lifecycle for our most complex and valuable customers.

Based in Sydney, Melbourne, New York, or London, you’ll own a portfolio of 3 to 6 large hospital systems, health networks, and strategic healthcare organisations (250+ users each), serving as a trusted strategic partner who shapes deployment strategy, drives measurable clinical and operational outcomes, and expands Heidi’s footprint across multi-site enterprises.

This is a senior role. You’ll work closely with Implementation Specialists and Account Executives from pre-sales through to long-term value realisation, balancing strategic partnership with hands-on execution.

What you will do

• Own the enterprise lifecycle: Lead the full customer relationship from pre-sales scoping and pilot design through implementation, adoption, expansion, and renewal. Build success plans that map customer goals to measurable clinical and operational outcomes.

• Build executive partnerships: Earn trusted, long-term relationships across C-suite (CIO, CMO, COO, CEO), clinical leadership, IT, and operations. Tailor your engagement to what each stakeholder cares about.

• Lead multi-site rollouts: Drive sophisticated implementations with formal governance, detailed plans, and cross-functional coordination. Manage workflow change through structured reinforcement: training waves, competency assessments, and coaching.

• Engage in pre-sales and pilots: Work alongside Account Executives and Implementation Specialists to shape deployment strategy, scope pilots for success, and run customer-facing demos when needed.

• Translate data into action: Synthesise enterprise usage and outcome metrics into clear narratives. Adjust depth and style for IT, ops, and exec audiences. Use data to decide where to intensify training, redesign workflow, or expand.

• Own commercial outcomes: Lead renewal conversations with strong value narratives. Identify and execute expansion opportunities backed by adoption maturity and outcome data. Partner with AEs to close.

• Prove value: Build evaluation frameworks for pilots and rollouts grounded in clinical and operational KPIs. Use outcome data to shape multi-year value narratives that strengthen commercial positioning.

• Orchestrate cross-functionally: Provide concise, complete context to Product, Engineering, Implementation, GTM, and Support. Surface risk early, drive decisions during ambiguity.

• Shape the playbook: Contribute to the frameworks, tools, and ways of working that turn complex enterprise programmes into scalable, repeatable rollouts.

What we will look for

• Experience: 5+ years in SaaS customer success or client-facing roles, with at least 3 years managing enterprise accounts (250+ users, high-value ARR).

• Full-lifecycle ownership: Proven track record across scoping, implementation, adoption, expansion, and renewal in complex enterprise environments.

• Executive presence: Builds trusted relationships with C-suite, clinical leaders, and technical stakeholders. Earns credibility quickly.

• Change management: Experience leading multi-site rollouts that drive genuine behaviour change and sustained adoption.

• Commercial acumen: Strong on expansion, complex renewals, and contributing to NRR and portfolio growth.

• Data-driven: Translates usage patterns and outcomes into strategic insights for customers and internal teams.

• Communication range: Adapts depth and style fluently from frontline clinicians to board-level executives.

• Pre-sales comfort: Willing and able to scope deals, design pilots, and run demos alongside Sales.

• Healthcare a bonus: Familiarity with clinical workflows, hospital systems, or large health networks helps you ramp faster.

The Way We Work

1. Build to Last

We design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.

2. Own Your Practice

Ideas rise on merit, not title, and everyone shares responsibility for the standards we set together.

3. Move Fast, Stay Steady

We move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.

4. Make Others Better

Honest feedback, steady support, and shared growth keep our teams improving together.

Why you will flourish with us

• Flexible hybrid working, with 3 days in the office

• Monthly $150 AUD benefit to invest in your physical and mental wellbeing

• Recharge Days after major milestones and busy periods

• A generous personal development budget of $1000 AUD per annum

• Become an owner, with shares (equity) in the company, if Heidi wins, we all win

• A one-time home office setup contribution

• 26 weeks paid parental leave for primary carers, 18 weeks for secondary carers

• A fertility support benefit of $10,000 AUD covering IVF, egg freezing or sperm freezing

• 10 days per year dedicated to supporting clinicians in maintaining accreditation

• The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups

• If you have an impact quickly, the opportunity to fast track your startup career!

Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We’re proud to be an equal opportunity employer and welcome all applicants as we’re committed to promoting a culture of opportunity for all.