Clinical AI Data Operations Manager

San Francisco

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Ambience

Reduce clinician burnout, improve system efficiency, and enable high quality care.

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About Us:

Ambience is developing the most capable AI systems for healthcare and medicine. As healthcare costs soar to 17.3% of US GDP and a projected shortage of 100,000 physicians within the next decade, the need for AI is critical. Our frontline healthcare workers are overwhelmed, with only 27% of the average clinician's day spent on direct patient care.

Our vision is to advance healthcare by empowering clinicians with safe, intelligent AI agents that improve quality, reduce costs, and enhance both patient and provider experiences.

Headquartered in San Francisco, we have secured $100M in funding from top investors, including Kleiner Perkins, OpenAI Startup Fund, Andreessen Horowitz, Optum Ventures, Human Capital, and Martin Ventures. We collaborate with leading AI experts such as Jeff Dean, Richard Socher, Pieter Abbeel, and AIX Ventures.

Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators.

The Role

At Ambience, our AI is only as strong as the data that powers it. As the Clinical AI Data Operations Manager, you’ll lead the development and scaling of the human-in-the-loop engine behind our medical AI models. You'll be responsible for the systems, teams, and quality processes that ensure our clinical data is accurate, reliable, and ready for production. Think: the operational rigor of a world-class logistics company, combined with the standards of a top-tier research lab. This is a rare opportunity to own a function that transforms data quality into a durable operational advantage—and help redefine how AI supports healthcare.

Who You Are

You’re an operations builder who thrives in fast-paced, high-throughput environments. You’ve led data annotation or labeling pipelines at high-performing AI organizations and know how to optimize for speed, cost, and quality at scale. You’re passionate about process design, data measurement, and rolling up your sleeves when needed. You bring structure and empathy to managing distributed teams—and have a clear vision for what great contractor systems and QA pipelines should look like. Most importantly, you’re excited to apply your expertise to a mission that matters.

Who You Are:

  • 3+ years leading high-throughput, human-data programs in data-centric teams

  • 1+ years of people management experience (hiring, coaching, performance)

  • Proven success in managing data operations within high-performing ML teams

  • Strong knowledge of annotation tools, QA workflows, and workforce management

  • Comfortable with ambiguity and extreme ownership in a startup environment

  • Willingness to work from our SF office ~3 days/week.

Bonus if you have:

  • Experience managing highly skilled clinical or PhD-level annotators.

  • Familiarity with medical data operations or HIPAA/PHI compliance.

  • Proficiency in SQL or Python for automation and data analysis

What You’ll Do

  • Hire and mentor a small, high-performing core team of Clinical Data Operations Specialists.

  • Design and scale a pipeline to source, onboard, and a large, high-quality pool of clinical contractors

  • Foster a strong contractor culture that’s motivated, mission-aligned, and engaged.

  • Implement robust QA systems including automation and expert validation with automated checks, peer review, and expert adjudication.

  • Instrument quality and throughput across the system with rigorous metrics and feedback loops.

  • Stand up a secure, centralized contractor portal for tasking, payments, and onboarding.

  • Identify bottlenecks in the data lifecycle and lead tooling/process fixes to eliminate them.

Success in this role means the data engine runs efficiently, at scale, and with uncompromising quality.


Pay Transparency

We offer a base compensation range of approximately $225,000-$275,000 per year, exclusive of equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. If your expectations fall outside of this range, we still encourage you to apply—our approach to compensation considers a range of factors to ensure alignment with each candidate's unique needs and preferences.

Being at Ambience: 

  • An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients

  • Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach

  • Work alongside a world-class, diverse team that is deeply mission aligned

  • Ownership over your success and the ability to significantly impact the growth of our company

  • Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan

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Tags: Data analysis DataOps Data quality Machine Learning OpenAI PhD Pipelines Python Research SQL

Perks/benefits: Career development Competitive pay Equity / stock options Health care Salary bonus Startup environment Team events Unlimited paid time off

Region: North America
Country: United States

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