Engineering Manager, Harvey
Integrations
$247-360k
+ Equity + Bonus
3 days a week in office
Generative AI for legal teams
Be an early applicant
Generative AI for legal teams
201-500 employees
Be an early applicant
$247-360k
+ Equity + Bonus
3 days a week in office
201-500 employees
Company mission
To help build the future of professional services.
Role
Who you are
- We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed
- If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you
- 2+ years of experience in a software engineering management role leading full stack product engineering teams, preferably in high-growth environments
- 5+ years of experience as a full stack or backend product engineer
- A track record of leading high-performing, engaged engineering teams
- Experience working with Integrations and partnering with cross functional and Partnerships teams
- Experience with modern frontend frameworks (e.g. React) and backend systems (e.g. Python, Node, Go)
- A plus: Exposure to syncing infrastructures and durable job execution frameworks
What the job involves
- Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences
- As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us
- As an Engineering Manager for Integrations, you will lead and scale a team of full stack engineers to create integrations with strategic partners and 3rd party vendors
- You will help architect systems to bring legal context into Harvey and also work with our Partnerships org and internal teams to prioritize which ones to build
- This role is equal parts product intuition and technical execution
- You’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellence
- Lead full stack engineering team(s) building user-facing features across our web product
- Collaborate closely with Product and Partnerships teams to identify and execute on high-impact integrations
- Work closely with engineers to build, platformize and scale integrations, working across the stack and with adjacent teams
- Expand the breadth and depth of integrations into the Harvey platform
- Contribute to code and architecture reviews, unblock teams, and lead by example when needed
- Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies Gen AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds will be used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Oct 2025
$150m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.0bn
Company benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits (401k match up to 4%)
- Flexible PTO
Company HQ
SoMa, San Francisco, CA
Leadership
Winston Weinberg
(CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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