We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: This position requires candidates to be based in the Nordics (Denmark, Finland, Iceland, Norway or Sweden).
Travel: 20% travel domestically and globally
Job ID: 1375

We’re looking for passionate and product-minded Backend Engineers to join our Discovery team - the group behind some of the most visible and impactful parts of Wolt’s consumer app. You’ll work on features that help millions of users discover their next favorite restaurant, grocery store, or product- from the homepage and category views to new vertical experiences like groceries, electronics, pet food, and health & beauty.

This is more than just a backend engineering role. We’re looking for someone who combines strong technical skills with curiosity, ownership, and a deep interest in creating meaningful user experiences at scale.

AI-First Engineering in Discovery 

We're building teams at the forefront of agentic coding. This goes beyond autocomplete or occasional prompting. We’re looking for engineers who:

• Design workflows where AI agents handle entire task loops, from spec to PR.
• Think in terms of orchestration: what does a human review, what does the agent own?
• Build internal tooling and abstractions that make AI-assisted development faster and more reliable for the whole team.
• Stay curious and ahead of the curve - trying new models, agents, and tools as they emerge, and forming strong opinions about what's genuinely useful vs. hype.

If you find yourself naturally asking "can an agent do this?" before reaching for the keyboard, you'll fit right in.

What you’ll do:

• Design, build, and operate high-performance backend services - primarily in Kotlin and Go (experience with Python is a plus) -  powering discovery surfaces, front pages, and category experiences across Wolt’s new and existing verticals.
• Own your services end-to-end: from requirements, design, and delivery to testing, CI/CD, deployment, monitoring, and on-call.
• Translate product and user needs into scalable, low-latency solutions and run experiments (A/B tests, feature flags) to continuously improve performance and impact.
• Collaborate closely with Product Leads, Frontend, Data, and Machine Learning teams to build features like search, ranking, personalization, and data-pipeline integrations.
• Drive reliability, observability, and efficiency - through automated testing, logging, tracing, alerting, incident response, and post-mortems.
• Continuously improve technical quality by reducing tech debt, proposing architectural improvements, and measuring their outcomes.

Why this role?

Join our Discovery team and shape how users experience Wolt from the moment they open the app.

• An AI-first team by design: We don't use AI as a productivity add-on - we treat agentic coding as a core engineering discipline. We expect our engineers to build with AI agents, to challenge what's possible when the human-in-the-loop is a multiplier rather than a bottleneck, and to push the boundaries of what a small, focused team can ship.
• Real ownership, real impact: Discovery is one of the most critical parts of the product. You’ll own features end-to-end and see your work directly influence user behavior at scale.
• Cross-functional collaboration: You’ll work closely with product managers, designers (including motion), backend engineers, and data teams to build seamless user experiences.
• A small team with high leverage: We operate as a tight, cross-functional team where engineers have a strong voice, move fast, and take responsibility for what they ship.

What we’re looking for

• Solid engineering fundamentals: At least 1-2 years of experience building production backend services 
• Genuine enthusiasm for AI-first development: You use AI tools daily and have formed real opinions about how to get the most out of them.
• End-to-end ownership mindset: You take responsibility beyond implementation, from breaking down problems into technical tasks to ensuring features are tested, stable, and successfully shipped
• Ability to work independently and drive projects: You’re comfortable owning work end-to-end with minimal guidance, collaborating with designers to clarify requirements, creating tasks, and moving initiatives forward
• Product and execution thinking: You operate well in ambiguous environments and contribute not just to implementation, but to shaping what gets built and how
• Experience operating in production environments: You’ve debugged real issues in live backend services and understand what it takes to maintain reliability at scale
• Collaboration and communication: You communicate clearly and work effectively across teams, including in multi-team development environments

🌍 Where You’ll Work

You will be based in Helsinki, and be a part of a distributed, cross-functional team with engineers in Berlin and Helsinki. We operate in a remote-friendly environment designed to encourage collaboration and innovation.

Next steps

These positions will be filled as soon as we find the right persons, so make sure to apply as soon as you realize you really, really want to join us!

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone.

The Role

We are looking for a Senior Software Engineer dedicated to the core development of our Aiven for OpenSearch service. This role is a highly technical and strategic contributor position focused on the internal architecture, reliability, and evolution of our search offering.

In this role, you will work on how we manage and tune OpenSearch at scale, while spearheading our transition into AI-optimized infrastructure. You will be a key driver of service availability and the technical lead for deploying next-generation hardware within our search clusters.

What You'll Do

• Autonomic Systems: Design and implement new and improve existing automated management, self-healing recovery mechanisms, and performance-tuning logic for OpenSearch clusters.
• Next-Gen Infrastructure: Research, design, and deploy the first GPU-powered instances within the Aiven ecosystem to support intensive search and AI workloads.
• AI Node Development: Develop and integrate specialized AI node types to enhance OpenSearch's capability in handling modern machine learning tasks.
• Engineering Ownership: Own the health, reliability, and availability metrics of our OpenSearch platform.

What We’re Looking For

• Search Mastery: Deep technical knowledge of OpenSearch or Elasticsearch internals, particularly in resource management, indexing strategies, and query optimization.
• Reliability & Operations: A passion for building highly available, resilient distributed systems and a proven track record of solving complex operational challenges.
• Hardware: Interest or experience in hardware acceleration, specifically deploying and managing GPU-based instances for data services.
• Automation Mindset: Proven experience in designing automated recovery systems and performance-tuning algorithms.
• Modern Search Patterns: A strong interest in the evolving landscape, including Vector Database implementations, hybrid search and RAG (Retrieval-Augmented Generation).

Nice to Have

• Familiarity with ML frameworks and integrating Large Language Models (LLMs) with Search engines.
• Prior experience within a managed service (SaaS) provider or a high-growth startup environment.

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid

We’re looking for a Senior Software Engineer to help build the next generation of Oura’s health experiences. In this role you’ll work across services and platforms – collaborating with mobile, backend, data, and product partners – to ship features that meaningfully improve our members’ health and wellbeing.

You’ll join one of our cross-functional product squads (for example Metabolic Health, Heart Health, Movement, or Advisor) depending on business need, your background, and your interests. You’ll be a key technical partner in taking ideas from early discovery all the way to reliable, scalable production systems.

This is an on-site (Helsinki or Oulu) or remote Finland-based senior role. We are not able to relocate people for this role.

What you will do

• Design, build, and maintain production services and features that power Oura’s consumer experiences, from APIs and data pipelines to user-facing flows in our mobile apps.
• Partner closely with iOS, Android, data science, product, design, and health experts in a cross-functional squad to deliver high-quality, member-facing functionality.
• Take end-to-end ownership of problems: clarifying requirements, proposing solutions, driving technical design, implementing, testing, releasing, and iterating based on data and feedback.
• Improve code quality, performance, and reliability through thoughtful refactoring, observability, and automation (including testing, alerting, and deployment practices).
• Contribute to and sometimes lead architectural discussions that span multiple services or surfaces, helping us scale our systems and keep them resilient as we grow.
• Mentor other engineers through code reviews, pairing, design reviews, and informal coaching, raising the overall bar for the team.

Depending on the squad, you may also:

• Integrate with external partners and platforms (for example biosensors, payment providers, or AI platforms).
• Help design and ship AI- or ML-powered features, working closely with data science and health science partners.

How We Build With AI

At Oura, AI is becoming a core part of how we build software. We expect senior engineers to use state-of-the-art AI tools to ramp up quickly in new domains, explore solution spaces, accelerate implementation, improve testing and documentation, and increase the speed and quality of delivery across the stack. You’ll have access to best-in-class tools from leading vendors across coding, research, prototyping, and workflow automation, and we continuously review the landscape to keep our toolset current based on real-world performance. We’re looking for engineers who are excited to work this way and who can turn rapidly evolving AI capabilities into better products, faster learning, and stronger technical execution.

We’d love to have you on our team if you have

• 10+ years of professional software engineering experience, shipping and operating production systems end-to-end.
• Strong experience in more than one modern backend or application stack (for example Python, TypeScript/Node, Kotlin, Swift, or similar) and willingness to learn others as needed.
• A track record of taking ownership of complex, sometimes ambiguous projects and driving them to high-quality outcomes with minimal supervision.
• Solid understanding of system design fundamentals: APIs, data modeling, reliability, performance, and trade-offs between different architectures and technologies.
• A product mindset: you care about the member experience, not just the code, and you’re comfortable collaborating on problem framing, scoping, and iteration.
• Strong communication and collaboration skills, including working effectively with cross-functional teammates in different locations and time zones.
• A proactive, “get-stuff-done” attitude and comfort working in a fast-moving, experiment-friendly environment.

We also appreciate if you have

You don’t need all of these to apply, but they’re a plus:

• Experience building mobile applications, native or cross-platform (React Native, Flutter, ..) 
• Experience with cloud-native architectures (e.g., AWS, Kubernetes, managed databases, queues, and event-driven systems).
• Experience with observability and operational excellence: metrics, logging, tracing, alerting, and debugging in production.
• Background in health, wellness, fitness, or consumer products, or personal interest in topics like sleep, activity, cardiovascular, or metabolic health.
• Experience mentoring other engineers, leading technical initiatives, or driving improvements that benefit multiple teams or services.
• Familiarity with building or integrating LLM-/ML-powered features in production systems.

Benefits

What we offer includes (may vary slightly by location)

• Lunch and wellness benefits to support your everyday wellbeing.
• Flexible working hours and a remote-friendly culture within Finland.
• Collaborative, smart teammates across engineering, product, design, and health science.
• An Oura Ring of your own, plus access to product improvements as we build them.
• Occupational healthcare and a personal learning & development program.
• Wellness Time Off and other policies that support sustainable high performance.

What next?

Ready to help millions of people understand and improve their health? Apply with your CV, and if you have them, links to relevant work (GitHub, portfolio, or examples of systems you’ve helped build). We’re excited to explore what we can build together.

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Senior Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns 
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 5+ years of experience developing and deploying production-quality software
• 2+ years of experience delivering software services powered by machine learning
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Fluent in Python; experience with C++ or Java is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Strong foundation in linear algebra, statistics, and calculus
• Experience building scalable data pipelines for ML-based data processing
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-JF2 #LI-Hybrid 

We are looking for a Senior Software Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

We use Python, TypeScript, PostgreSQL, Node.js, Docker and Kubernetes for our microservices, TypeScript and React in the frontend of our products.

Here's What You'll Do...

• Design, build and maintain backend services that sit at the core of Smartly.io’s campaign optimization products.
• Be a core contributor of our team and our ways of working to build high impact products. You’ll actively be involved in work planning, retrospectives, and overall team improvement.
• Support data scientists in bringing machine learning models to production.
• Mentor your team on software development practices and propagate best practices like testing, monitoring, or clean code.
• Use your skills and experience to continuously improve our software architecture, coding practices, tools, and processes.
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. Being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly

Here's What We're Looking For...

• We’re seeking an experienced Software Engineer with Strong Python skills
• 5+ years of experience developing and deploying production-quality software
• 2+ years of experience working with cloud infrastructure such as AWS or GCP
• Experience with NodeJS, React, TypeScript is a plus
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) is a plus
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow) is a plus
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• Ability to work 3 days / week at our office
• M.Sc. in a relevant field is preferred

We are looking for a Staff Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects.

Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you’re a growth minded individual who has a passion for ML and the marketing space, this team is for you!

As a Staff Machine Learning Engineer, you’ll:

• Build ML-based software systems that enable our users to craft great advertising experiences and campaigns 
• Drive the longer term technical architecture evolution of your domain.  
• Be a role model for technical excellence in your field inside Smartly
• Coach, mentor and train our ML Engineering talent.
• Work with a large span of datasets from image to video to audio to text to structured performance data.
• Contribute to and strengthen Smartly’s MLOps + data platform. You’ll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently.
• Impact the daily life of the staff of the hundreds of advertisers using Smartly 
• Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must.
• Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills.
• Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability.

What we are looking for:

• 8+ years of experience developing and deploying production-quality software
• 5+ years of experience delivering software services powered by machine learning
• 4+ years of experience working with cloud infrastructure such as AWS or GCP
• Fluent in Python; experience with C++ or Java is a plus
• Demonstrated experience managing the technical direction of a software system
• Experience in coaching and mentoring senior engineers
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
• Experience in feature engineering, model evaluation, diagnostics, and monitoring
• Strong foundation in linear algebra, statistics, and calculus
• Experience building scalable data pipelines for ML-based data processing
• Experience developing and maintaining services under SLA
• Analytical mindset with a problem-solving approach
• Passion for solving customer challenges quickly while making thoughtful architectural decisions
• Adaptability and resilience when facing new or ambiguous challenges
• Strong written and verbal communication skills in English
• M.Sc. in a relevant field is preferred
• Ability and willingness to work in a hybrid capacity from our office 3 days a week

What We Offer You:

• Inclusive Culture: Join a team of over 750 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being the best place to work for growth-minded individuals to thrive - explore more in our Culture Handbook!

#LI-JF2 #LI-Hybrid 

Oura’s engineering organization consists of talented developers distributed across the EU and US. For day-to-day feature work, our engineers are organized into smaller cross-functional teams. Our teams have a great deal of autonomy and are responsible for the design, development and architecture of their features. Teams take full ownership of their code and handle everything from concepting, design and implementation to release, maintenance and bug fixes. 

About the role

The Health Intelligence team is at the forefront of integrating modern AI and LLMs into the Oura experience, transforming how members interact with and learn from their data. We are building the next generation of AI-powered health guidance at Oura, blending traditional ML with modern LLMs, reasoning systems, and robust evaluation - not as “chatbots with vibes,” but as rigorously evaluated components that explain decisions, surface trade-offs, and adapt member journeys over months and years.

We’re looking for an Engineering Manager with a strong backend or data science background who is already acting as a team lead or de‑facto lead and wants to grow on the managerial track while still staying partially hands-on.

In this role you will:

• Lead a multi-disciplinary group of Senior AI Engineers and Senior AI Scientists working on LLM-backed workflows, evaluation pipelines, personalization logic, and intervention models.
• Split your time between people leadership and delivery (majority) and hands-on contributions (e.g., technical design reviews, code or experiment work, prototyping, debugging) where it helps unblock the team or de‑risk a problem.
• Partner closely with product, data, and science leadership to ensure we build AI that is grounded in data, constrained by guardrails, and measured by outcomes and behavior change – not just engagement metrics.

This is a great fit for someone who has been a tech lead / lead engineer / lead data scientist, enjoys coaching others and coordinating complex work, and now wants to formalize that into an Engineering Manager role without giving up all contact with the code and models.

What you will do

You don’t need to do all of these on day one, but these are the kinds of problems you’ll own:

• Lead and grow a high-performing AI engineering team: Manage, coach, and develop a group of AI Engineers and Scientists working on LLMs, applied ML, evaluation, and behavior/health modeling.
• Act as a “player‑coach” for AI initiatives: Focus primarily on people leadership and coordination while occasionally contributing hands-on to design reviews, code/experiment work, and prototyping to de‑risk and unblock.
• Own delivery for critical AI work in Health Intelligence: Drive planning, scoping, and execution for Advisor, Adaptive Insights, notifications, and related AI features with clear milestones and predictable delivery.
• Create a strong partnership model across product, science, and engineering: Align people around shared problem definitions, success metrics, and evaluation strategies.
• Provide technical leadership and guardrails: Stay close enough to the technical and scientific work to support sound decisions and guide trade-offs between complexity, cost, latency, and long-term maintainability.
• Shape how we evaluate and operate AI systems in production: Ensure robust evaluation, monitoring, incident response, and continuous improvement practices for LLM- and ML-powered workflows.
• Foster healthy, sustainable ways of working: Build a team culture that balances ambition with sustainability, clear priorities, psychological safety, and a growth mindset.

Requirements

We’d love to hear from you if you have:

• 5+ years of experience as a backend engineer or data scientist shipping production systems used by real users.
• 1–3 years as a tech lead or de‑facto lead coordinating work and mentoring others, with a clear interest in moving into formal people management.
• Practical exposure to ML or LLM-powered systems and comfort working closely with scientists and ML engineers on real product problems.
• Demonstrated ability to own cross-functional projects end‑to‑end from problem framing through rollout and follow-up iteration.
• Strong written and verbal communication skills, able to align engineers, scientists, and product partners and explain trade-offs clearly.
• Desire to spend most time on people leadership and coordination while keeping a smaller, well-defined slice for high-leverage hands-on work.
• Comfort operating in a fast-changing AI/LLM landscape, learning continuously, and keeping member safety and value at the center.

Would be a benefit

You don’t need all of these, but they’re strong signals of fit:

• Experience managing or informally leading multi-disciplinary groups that include both engineers and scientists.
• Background in AI / LLM-backed products, including evaluation/guardrails.
• Experience in digital health, wearables, or behavior change products, where long-term engagement and outcomes matter more than short-term clicks.
• Prior work integrating ML models into production systems, including partnering with data science/ML teams on interfaces, deployment, and monitoring.
• Experience leading or participating in distributed teams across countries and time zones, and comfort with asynchronous communication.

What we offer

• Competitive salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• Collaborative, smart teammates
• An Oura ring of your own
• Wellness Time Off

If this sounds like the next step for you, please send us your application and CV as soon as possible. We aim to start interviewing as soon as suitable candidates are found.