Staff Product Engineering Manager + Lead

United States


Why Harvey

Harvey will be a category-defining company for the application layer built on top of foundation models like GPT-4.

  • Exceptional product market fit: multiple multi-million dollar deals with the largest professional service providers (e.g. PwC) and the largest law firms on Earth (e.g. Allen & Overy).

  • Massive demand: 15,000 law firms on our waitlist.

  • World-class team: ex-DeepMind, Google Brain, Meta AI, Tesla Autopilot. Former founding engineers at $1B+ startups like Superhuman and Glean.

  • Work directly with OpenAI to build the future of generative AI and redefine professional services.

  • Top of market cash and equity compensation.


We are building systems that can automate the most complex knowledge work in the world, e.g. billion dollar litigations and corporate transactions.

  • Dealing with the most sensitive data in the world: client data from the largest companies in the world.

  • Working past the edge of published AI research: tackling problems far beyond the complexity of existing AI benchmarks.

  • Unsolved product, architectural, and business problems: natural language interfaces, prohibitively expensive evaluation of models, massive marginal costs, versioning / training / segregating models per task / legal system / practice area / client and client’s clients.


Lead (one or two) teams building products end-to-end at Harvey: from product design to implementation. Contribute to Harvey’s product engineering roadmap and make high-level product engineering and design decisions. Contribute as an IC where needed.


  • Work directly with our founders, legal and research teams, and OpenAI.

  • Own and shape Harvey’s product roadmap.

  • Directly change the nature of work in a $1T+ industry.

  • Tackle unsolved research and engineering problems, including the hardest in the world relevant to LLMs in production.

  • Build and lead our product engineering organization.


Experience leading teams building world-class software products.

  • Examples: complex enterprise products with slick UX (Brex, Ramp, Stripe), beautiful consumer software products (Figma, Notion, Linear)

  • Experience with AI, large language models, or legal is not required.


  • 7+ years total experience in product-focused full-stack engineering.

  • 2+ years’ experience leading product-focused engineering teams.

  • Google level would be L6 - Staff. Open to speaking with more senior candidates (Principal+).

Let’s build the future together.