Director of Engineering, Harvey
Product Data
$320-360k
+ Equity + Bonus
Domain-specific AI for legal and professional services
Job no longer available
Domain-specific AI for legal and professional services
501-1000 employees
Job no longer available
$320-360k
+ Equity + Bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- You have 10+ years of experience in data engineering, data architecture, or platform engineering, with 5+ years of leading high-performance teams
- You’ve led data or ML infrastructure teams through scale — from startup to multi-team org
- You have a proven track record of building and scaling distributed data systems handling large, complex, and heterogeneous datasets
- You bring depth in backend, data infrastructure, or information retrieval, with a strong appreciation for applied AI
- You value clarity, craftsmanship, and high trust as the foundations of great engineering
What the job involves
- We’re looking for a Director of Engineering, Product Data to lead this function into its next chapter.
- You’ll shape the strategy, architecture, and team behind the systems that make advanced reasoning possible.
- The Data team owns end-to-end retrieval-augmented generation (RAG) stacks across complex domains — including Case Laws, Legislation, and Tax codes across 50+ international jurisdictions.
- As generation and reasoning improve, retrieval quality has become the new frontier. Solving it at scale is one of Harvey’s top priorities
- If you’re excited by large-scale data engineering, complex information retrieval, and building the backbone of cutting-edge AI systems, we’d love to talk
- Lead and scale the Data organization from a single high-performing team into multiple specialized teams
- Partner closely with leadership to define the strategic roadmap for Harvey’s data ecosystem and ensure it scales with our global growth
- Own and evolve Harvey’s end-to-end data architecture — from ingestion to transformation, storage, retrieval, and delivery — ensuring performance, reliability, and scalability to power LLMs and downstream applications
- Design and oversee large-scale data ingestion pipelines that aggregate, normalize, and maintain data from thousands of heterogeneous, publicly available legal and regulatory sources across global jurisdictions
- Integrate private and partner data sources, ensuring robust access controls, lineage tracking, and compliance with security and privacy requirements
- Evaluate and implement data infrastructure technologies to support large-scale document processing, embedding generation, vector storage, and retrieval optimization
- Collaborate closely with the Applied AI team to drive experimentation and model improvements that directly enhance AI quality and differentiation across Harvey’s products
- Drive the development of end-to-end research experiences that weave together our retrieval, reasoning, and UX layers — transforming AI insights into intuitive, lawyer-friendly workflows that redefine how professionals engage with complex information
- Partner cross-functionally with Product Engineering, Applied AI, Research, and Platform teams to deliver high-quality, production-ready systems
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 9 rounds)
Oct 2025
$160m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.0bn
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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