Staff Product Manager

Harvey Harvey · AI Frontier · San Francisco, CA · Product

Product Manager to build out integrations with strategic partners and vendors, enable search over data sources using MCPs and deep research, and architect systems to bring legal context into Harvey. This role requires a strong technical foundation, ability to partner with engineering on technical architecture, and experience navigating ambiguity to deliver enterprise B2B products.

What you'd actually do

  1. Lead the end-to-end product lifecycle, from ideation and strategy to execution and launch
  2. Collaborate closely with engineering and partnerships team to identify and execute on high-impact integrations
  3. Work closely with engineers to build, platformize and scale integrations, working cross functionally with adjacent teams
  4. Expand the breadth and depth of integrations into the Harvey platform
  5. Collaborate cross-functionally with Product Engineering, Applied AI, Research, and Platform teams to deliver high-quality production systems that support reasoning, summarization, and legal research workflows.

Skills

Required

  • 5+ years of experience building enterprise products in a B2B/commercial environment
  • Experience working on Integrations and partnering with cross functional and Partnerships teams
  • Experience with or knowledge of AI and LLMs
  • Ability to partner with engineers on technical architecture, with enough depth to challenge assumptions, propose solutions, and influence design.
  • Ability to navigate extreme ambiguity to deliver outcomes
  • A product mindset for balancing user needs, domain complexity, and system constraints to propose high-leverage improvements.

What the JD emphasized

  • end-to-end
  • enterprise-grade platform
  • deep domain expertise
  • cutting edge of applied AI
  • engineering excellence
  • bias toward simplicity
  • hands-on
  • ownership
  • decisive execution
  • real user problems
  • integrations
  • partnering with cross functional and Partnerships teams
  • technical architecture
  • extreme ambiguity

Other signals

  • integrations with strategic partners and vendors
  • enable search over data source using MCP’s and deep research
  • architect systems to bring legal context into Harvey
  • work with our Partnerships org and internal teams to prioritize which ones to build
  • cutting edge of applied AI