Staff Software Engineer, Harvey
Full Stack
$231-314.5k
+ equity + bonus
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$231-314.5k
+ equity + bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 7+ YoE (post-BS/MS) in a product focused full-stack software engineering role
- Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related
- Track record of building fast-growing SaaS products
- Track record of shipping highly intuitive products, strong attention to detail
- Experience building scalable and extensible solutions across the stack that can support multiple product lines
- Strong programming skills and general Computer Science knowledge
- Grit - experience working at early-stage startups is a plus
What the job involves
- As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers
- We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products
- Scale document ingestion and processing that is growing at 10x every 6 months
- Design massive data collection from over 50+ legal jurisdictions
- Build government-level security for top governments and firms
- Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences
- Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems
- Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows
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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