Salary
💰 $190,000 - $250,000 per year
About the role
- Define and drive AI product strategy across member, clinician, and operational experiences.
- Translate business and clinical product priorities into AI platform opportunities and workstreams.
- Serve as the bridge between domain product teams (Clinical Experience, Member Experience, Care Delivery) and the AI/Data platform team.
- Translate workflows, inputs, and expected outputs into AI platform workstreams and requirements.
- Build prototypes and scrappy proofs-of-concept using Python notebooks, API integrations, and prompt engineering to validate concepts.
- Engage with LLMs, embeddings, vector search, and generative AI workflows to guide solution design.
- Build and run small-scale experiments with real data to validate models or approaches.
- Partner with AI Engineering to develop models, algorithms, and platform capabilities; collaborate with Product Engineering for feature implementation.
- Define AI platform requirements, work with VP of Data + AI and engineering leads to prioritize infrastructure and model development.
- Monitor AI performance, iterate on models, and ensure compliance with healthcare regulations (including HIPAA).
- Proactively identify new AI use cases, build a roadmap balancing quick wins with strategic scalable solutions.
- Ensure AI solutions meet regulatory, security, and ethical standards.
Requirements
- 7+ years of product management experience, with at least 3 years in AI/ML-focused or data-intensive product roles.
- Proven experience bridging technical platform teams with domain product teams to deliver AI-enabled solutions.
- Strong understanding of AI/ML concepts, data pipelines, and model lifecycle management.
- Experience in health tech or similarly regulated industries preferred.
- Exceptional collaboration and communication skills, able to align cross-functional teams.
- Track record of delivering complex AI or data-driven product initiatives.
- Bachelor’s degree required; advanced degree in computer science, data science, or related field preferred.