3 to 6 years in product management or technical program management as an individual contributor.
Experience writing build-ready specs that engineering can directly implement.
Ability to read a codebase and understand system architecture.
Experience in a startup or mid-size company with limited resources and ambiguity.
Fluency with AI tools like Claude Code or Cursor; strong writing skills.
Responsibilities
Break down product briefs into manageable components for each build.
Write detailed feature stories with acceptance criteria and edge cases.
Review data models and API contracts against existing schemas.
Conduct reviews of specs with engineering and domain experts before handoff.
Define criteria for what constitutes 'correct' behavior for AI features.
Ensure product quality for features that are shipped.
Benefits
On-site work environment in Los Altos, CA.
Opportunity to work closely with founders and cross-functional teams.
Engagement in cutting-edge AI-native product development.
Exposure to complex domains such as life sciences.
Full Job Description
Technical Product Manager - AI-Native Platform for Life Sciences
Los Altos, CA (San Francisco Bay Area) | On-site | Full-time
You will turn product concepts into engineering-ready specs: how each requirement fits the existing architecture, what gets stored, how AI agents should behave and what "correct" looks like for AI features. You will work with the founders, design, a domain team and engineering. No prior domain experience is required.
Key Responsibilities
Break product briefs into components and scope what goes into each build.
Write numbered feature stories with acceptance criteria, edge cases and state transitions.
Review data models and API contracts against the existing schema.
Run specs through review with engineering and domain experts before handoff.
Define what "correct" means for AI features such as document extraction and classification.
Own product quality for shipped features.
Required Qualifications
3 to 6 years in product management or technical program management as an individual contributor.
Has written build-ready specs (data models, API shapes, state diagrams, acceptance criteria) that engineering built from directly.
Can read a codebase and reason about system architecture.
Shipped at a startup or mid-size company with few resources and real ambiguity.
Fluent with AI tools such as Claude Code or Cursor; clear, precise writing.
Nice to Have
Built AI-native products: LLM integrations, structured extraction, agentic workflows or evaluation frameworks.
Products in complex domains (legal, financial, clinical, regulatory) or document-heavy, data-quality-heavy products.
Work Arrangement
On-site role in Los Altos, CA (San Francisco Bay Area); fully remote is not possible. Candidates must live in or relocate to the Bay Area and must already be authorized to work in the United States.
HOW TO APPLY
Apply through this same channel with your updated resume and your expected gross annual base salary in USD.
