Technical Product Manager – AI-Native Platform for Life Sciences

MaxIT Consulting - Max Corporate Group; Los Altos (CA); Sur place; USD 140 000 - 190 000; Plein temps

Résumé du poste

MaxIT Consulting - Max Corporate Group in Los Altos, CA is seeking a Technical Product Manager to turn product concepts into engineering-ready specs for an AI-native operating system used in drug development programs.

You will partner with founders, design, and engineering to define acceptance criteria, review data models, and ensure shipped features meet quality standards. On-site role; Bay Area residents preferred; US work authorization required.

Qualifications

• 3–6 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.

Responsabilités

• 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.

Connaissances

Product management

Technical writing

Systems thinking

AI tools familiarity

Outils

Claude

Cursor

Description du poste

Los Altos, CA (San Francisco Bay Area) | On-site | Full-time

MaxIT Consulting is looking for a Technical Product Manager to join a venture-backed, early-stage AI company building an AI-native operating system for drug development programs, already used by leading biopharma companies.

The Opportunity

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.