Product Manager, Technical Specs – AI Products & B2B SaaS

MaxIT Consulting - Max Corporate Group; Los Altos (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

MaxIT Consulting - Max Corporate Group is seeking a Technical Product Manager for an on-site, full-time role in Los Altos, CA. You will translate product concepts into engineering-ready specs, defining AI feature correctness and guiding data models, APIs, and state diagrams with a small, capable team.

You will collaborate with founders, design, domain experts and engineering to deliver shipped features in a fast-paced, ambiguous startup environment.

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.

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.

Skills

Product management

Technical PM

Spec writing

Codebase reading

AI tools

Tools

APIs

Data schemas

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.