Technical Product Manager – AI-Native Platform for Life Sciences
Job Description
Own technical product execution for an early-stage, venture-backed AI company building an AI-native operating system for drug development programs.
Responsibilities
- Translate product briefs into build components and define scope for each implementation
- Write numbered feature stories with acceptance criteria, including edge cases and state transitions
- Review data models and API contracts to ensure alignment with the existing schema
- Run specifications through structured review with engineering and domain experts before handoff
- Define what “correct” means for AI features, including document extraction and classification
- Own product quality for shipped AI features
Requirements
- 3 to 6 years in product management or technical program management as an individual contributor
- Experience producing build-ready specifications that engineering implemented directly (data models, API shapes, state diagrams, acceptance criteria)
- Ability to read a codebase and reason about system architecture
- Track record shipping in a startup or mid-size environment with limited resources and real ambiguity
- Clear, precise writing and fluency with AI tools such as Claude Code or Cursor
Technologies
- Claude Code
- Cursor
Nice to have
- Experience building AI-native products including LLM integrations, structured extraction, agentic workflows, or evaluation frameworks
- Background in complex domains (legal, financial, clinical, regulatory) or document-heavy, data-quality-heavy products
Work arrangement
- On-site in Los Altos, CA (San Francisco Bay Area)
- Fully remote is not possible
- Candidates must live in or relocate to the Bay Area and be authorized to work in the United States
How to apply
- Apply through this same channel with your updated resume
- Include your expected gross annual base salary (USD)