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Function Health · 2 weeks ago

Lead Product Manager, AI

United States

Full-time

Remote

Lead/Staff

8+ years exp

Function Health is a company focused on empowering individuals to live healthier lives through technology. They are seeking a Lead Product Manager to guide the development and deployment of AI systems that improve healthcare and enhance user access to health data.

Health CareHealth DiagnosticsMedicalPersonal Health

Responsibilities

Define and Lead Model Capability Roadmaps: Shape the development and deployment strategy for AI model behavior and capabilities. Partner with research and engineering to translate emerging model potential into product impact that aligns with company objectives and user needs

Guide Responsible AI Development and Deployment: Proactively manage the behavior, safety, and reliability of AI systems in production. Lead efforts to identify misalignment risks, define success criteria for “safe and useful” model behavior, and operationalize evaluation frameworks

Drive Research–Product Integration: Act as a connective tissue between frontier AI research and product application. Evaluate early technical breakthroughs, determine productization paths, and prioritize research that unlocks high-leverage capabilities

Establish Standards for Model Evaluation and Feedback Loops: Design, iterate, and scale systems for red-teaming, user feedback, and evaluation that shape the ongoing behavior of models. Define key metrics for model usefulness, accuracy, fairness, and trust

Influence Company-Wide AI Strategy: Collaborate with leadership, legal, ethics, and technical teams to drive long-term strategic bets on model direction, infrastructure, and responsible AI governance. Represent product priorities in high-stakes internal and external discussions

Lead Cross-Functional Product Teams: Mentor and manage PMs and workstreams, ensuring tight execution across research, design, eng, and operations. Create clarity in ambiguity and drive alignment in frontier spaces with limited precedent

Qualification

AI/ML product managementMachine learning fundamentalsEthical AI developmentData analysis skillsStakeholder alignmentModel evaluationCross-functional collaborationEntrepreneurial spiritContinuous improvementCommunication skills

Required

8+ years of product management experience, with at least 2 years working directly on AI/ML-driven products or platforms

Solid understanding of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and deployment workflows

Exceptional product leadership and execution skills, including roadmap development, stakeholder alignment, and delivery of high-impact features

Track record of launching and scaling AI products, ideally including experience navigating model explainability, fairness, and deployment challenges

Experience partnering with data science and engineering teams, with the ability to translate technical concepts into clear product decisions

Strong data intuition and analytical skills, with experience defining data needs, evaluating data quality, and making decisions based on data insights

Demonstrated experience in ethical AI development, data privacy considerations, and aligning AI use with regulatory or compliance frameworks

Demonstrate Technical Proficiency in AI & ML Fundamentals: Leverage a strong foundational understanding of machine learning, deep learning, and data science to collaborate effectively with engineering teams and ensure technical feasibility aligns with product vision

Experience mentoring or leading others, including guiding PMs, managing small pods, or taking ownership of a product pillar

Clear, confident communicator, comfortable navigating between technical teams, leadership, and non-technical stakeholders

Preferred

Experience working in healthtech, SaaS, or data-centric environments, especially in early-stage or scaling startups

Familiarity with AI infrastructure and MLOps tools, such as model monitoring platforms, automated training pipelines, or inference optimization systems

Comfort with scripting and querying languages, such as Python or SQL, sufficient to support technical discovery and collaboration

Exposure to user-centered product development, including design thinking, UX research, and human-in-the-loop AI solutions

Advanced degree in a technical or business discipline, such as Computer Science, Data Science, Engineering, or an MBA