Engineering Manager, Harvey
Document Platform
$260-330k
+ Offers Equity + Offers Bonus
Domain-specific AI for legal and professional services
Open for applications
Domain-specific AI for legal and professional services
501-1000 employees
Open for applications
$260-330k
+ Offers Equity + Offers Bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 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 backend teams operating in technically complex domains
- A track record of leading high-performing, engaged engineering teams
- A strong foundation in backend systems, with 5+ years of hands-on experience designing and operating distributed systems in a cloud environment
- Ideally, direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases)
What the job involves
- Harvey is building the future of legal work, and we’re looking for an Engineering Manager to help lead the charge
- Our Document Platform team sits at the core of our platform—enabling our AI systems to make sense of massive troves of legal documents
- From OCR to vector storage, our systems must be fast, accurate, and scalable to meet the demands of the top law firms in the world
- You’ll lead a team of exceptional engineers to extend our capabilities, push the boundaries of what’s possible in document understanding, and ensure our infrastructure scales with our users
- We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed
- Lead and grow a team of world-class engineers working on document ingestion, understanding, and retrieval
- Define and execute a long-term technical roadmap for our document processing systems that aligns with Harvey’s product vision and the needs of our customers
- Collaborate closely with Product, Infrastructure, and Applied AI teams to design robust systems that bridge cutting-edge research and production readiness
- Stay hands-on: unblock engineers, participate in architecture reviews, and dive into code when needed
- Cultivate a culture of engineering excellence, thoughtful experimentation, and continuous improvement
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 generative 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 are now being 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 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & 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
(Co-Founder & 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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