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Peak Health
Posted 95 days agoVerified live 1d ago

AI Product Manager

Brief overview

San Francisco, CAHybrid
1+ yrsMinimum

Job description

Summary

Peak Health is a company focused on rebuilding healthcare to prioritize wellness. They are seeking an AI Product Manager to enhance product quality and execution, manage bug reports, and oversee smaller features in a dynamic startup environment.

Responsibilities

  • You’ll be our embedded product quality and execution PM, doing whatever needs to be done to make the product better and the team faster
  • You’ll find and report bugs and UX issues manually, triaging incoming quality reports
  • You’ll also own smaller features end-to-end as product owner and absorb whatever startup ops needs doing

Skills

  • 1–4 years of product, product ops, APM, or adjacent experience
  • Experience at an early-stage startup
  • An obsessive eye for product quality
  • Real fluency with modern AI tools (Cursor, Claude, ChatGPT, etc.)
  • A “unicorn” mentality: high autonomy, sharp critical thinking, zero attachment to title or scope boundaries
  • Comfort owning small features end-to-end—spec to shipped
  • Experience shipping AI-native product features that expose generative AI to end users
  • Direct experience at a close competitor in DTC longevity, weight loss / GLP-1, hormone health, women's health, or telehealth
  • Background in QA, product operations, or customer-facing support engineering
  • Basic data analysis chops (SQL, spreadsheets, whatever)
  • Experience building and shipping with vibe-coding tools like Lovable, Replit, Claude Code, or Cursor

Qualifications

Must Haves

  • 1–4 years of product, product ops, APM, or adjacent experience
  • Experience at an early-stage startup
  • An obsessive eye for product quality
  • Real fluency with modern AI tools (Cursor, Claude, ChatGPT, etc.)
  • A “unicorn” mentality: high autonomy, sharp critical thinking, zero attachment to title or scope boundaries
  • Comfort owning small features end-to-end—spec to shipped
  • Experience shipping AI-native product features that expose generative AI to end users

Nice to Haves

  • Direct experience at a close competitor in DTC longevity, weight loss / GLP-1, hormone health, women's health, or telehealth
  • Background in QA, product operations, or customer-facing support engineering
  • Basic data analysis chops (SQL, spreadsheets, whatever)
  • Experience building and shipping with vibe-coding tools like Lovable, Replit, Claude Code, or Cursor

Benefits

  • Meaningful equity
  • Benefits
  • Referral bonus

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