Engineering Manager

San Francisco

Full-time

Why Harvey

Harvey is a category-defining company for the application layer built on top of foundation models like GPT-4. We are transforming legal and professional services with LLMs.

  • 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, FAIR, 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.

Challenges

  • 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.

Role

Our flagship product is Harvey, an AI assistant for lawyers. Harvey can do the core knowledge work that legal associates do on a day-to-day basis, including document drafting, research over large legal and financial databases, and natural language Q&A and reasoning over legal documents and corpora, among many other tasks.

You will lead and manage a team of 10-20 software engineers building our assistant product.

Impact

  • Lead and build Harvey's flagship product.

  • Build a product that transforms the nature of legal work.

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

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

Qualifications

  • 3+ years' experience managing teams of 10-20 software engineers.

  • Ruthless execution ability.

  • Technical: can serve as a tech lead and contribute substantially to our codebase as necessary.

  • Ability to work with our research team and product teams.

  • Track record of building beautiful and performant software products.

Experience with LLMs or legal is not required.

Let’s build the future together.

Apply