Engineering Manager, Harvey

Document Platform

$260-330k

+ Offers Equity + Offers Bonus

Elasticsearch

Senior and Expert level

San Francisco Bay Area

3+ days a week in office

Domain-specific AI for legal and professional services

Open for applications

Domain-specific AI for legal and professional services

501-1000 employees

B2BArtificial IntelligenceLegalSaaS

Open for applications

$260-330k

+ Offers Equity + Offers Bonus

Elasticsearch

Senior and Expert level

San Francisco Bay Area

3+ days a week in office

501-1000 employees

B2BArtificial IntelligenceLegalSaaS

Company mission

To help professionals develop expertise, faster.

Job

Company

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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