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Technical Product Manager - AI-Native Platform for Life Sciences

  • Technical Product Manager - AI-Native Platform for Life Sciences job type Posted on: Nov 10, 2026
  • Technical Product Manager - AI-Native Platform for Life Sciences experience level MaxIT Consulting - Max Corporate Group
  • Technical Product Manager - AI-Native Platform for Life Sciences employment type Los Altos, California
  • Technical Product Manager - AI-Native Platform for Life Sciences employment type Remote
  • Technical Product Manager - AI-Native Platform for Life Sciences salary Full-time

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Job Title :

Technical Product Manager - AI-Native Platform for Life Sciences

Job Type :

Full-Time

Job Location :

Los Altos California United States

Remote :

Yes

Jobcon Logo Job Description :

Job Description

Job Description

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.

HOW TO APPLY

Apply through this same channel with your updated resume and your expected gross annual base salary in USD.

Jobcon Logo Position Details

Posted:

Nov 10, 2026

Reference Number:

c77d7c92

Employment:

Full-time

City:

Los Altos

Job Origin:

ziprecruiter

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Job Description

Job Description

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.

HOW TO APPLY

Apply through this same channel with your updated resume and your expected gross annual base salary in USD.

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