Engineering Manager, Harvey
AI Quality
$260-330k
Offers Equity, Bonus & Commission
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
Open for applications
$260-330k
Offers Equity, Bonus & Commission
3 days a week in office
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- Significant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies
- Excellent software engineering skills; experience working in teams that built and operated production systems
- Excellent communication skills, both written and verbal
- Ability to roll up your sleeves and build team, processes, and technology from the ground up
- A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields
What the job involves
- The quality of Harvey’s AI & Search systems is of critical importance. Our customers expect us to produce accurate, specific, verifiable and personalized results across all of our product surfaces. They also expect the quality of our answers to continuously get benchmarked and improved
- In this role, you will drive overall AI & results quality across all of Harvey’s products (Assistant, Harvey Word, Vault, Workflows & Agents, and net new products). This includes establishing the right evaluation processes and tools, creating and evangelizing reusable AI building blocks, and working closely with all product teams to continuously improve the quality of Harvey’s AI outputs
- You will be responsible for building out tools and processes and for establishing a strong culture of scientific experimentation, rigorous evaluation, and iterative improvements
- Establish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation
- Build out core AI quality building blocks that can be reused across different teams and surface areas
- Own search & retrieval quality, both for AI applications as well as other use cases
- Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products
- Work closely with platform engineering to scale our capabilities
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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