Senior Staff Software Engineer, Harvey
Product Engineering
$231-340k
+ equity + bonus
3 days a week in office
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
$231-340k
+ equity + bonus
3 days a week in office
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 10+ YoE (post-BS/MS) in a product-focused software engineering role, operating at Staff level or above
- Depth in full stack, backend, or agents/AI — and enough range to be useful outside it
- Experience building scalable, extensible systems that support multiple product lines
- Track record of shipping highly intuitive products in fast-growing SaaS, strong attention to detail
- Experience with React, TypeScript, CSS (we use TailwindCSS), Python, or related. For agents/AI, proficiency in Python plus hands-on work building and shipping agentic systems — agent harnesses/loops, tool use, memory, and evals — not just calling LLM APIs
- You embrace AI in how you build: AI coding tools (Claude Code, Cursor, Codex, or similar) are a core part of how you ship, and you have sharp instincts for where they accelerate work and where they fall short
- A history of influencing and aligning engineers and leaders well outside your direct scope
- Strong programming skills and general Computer Science knowledge
- Grit — experience working at early-stage startups is a plus
What the job involves
- As a Staff or Senior Staff Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects that span multiple Product Engineering teams and product lines. You'll work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers
- Product Engineering covers a lot of ground, and we're looking for engineers across multiple domains — backend, full stack, and AI. We want people who have built great products across consumer, enterprise, and everything in between, and who are excited about building the future of application layer and genAI products. You'll build both the surfaces where lawyers meet Harvey — web, mobile, and embedded experiences in Word, Outlook, and Slack — and the agentic capabilities that power them
- Bring AI to where our customers already work: build Harvey across every surface — web, desktop, mobile, and embedded experiences (Google Docs, MS Word, Outlook, and Slack), and API
- Lead large, high-priority projects that span multiple teams, and define the technical bets we make over the next several quarters
- Find the problems that are business critical, prioritize ruthlessly, and make the big tradeoff calls without slowing anyone down
- Build AI-platform and AI-native capabilities — the agent harness, agent building (custom agents and workflows), tool calling, retrieval, memory and context management, personalization and tone, the thread experience, and the evals that turn model quality into product quality
- Ship the systems that make Harvey work: retrieval over petabyte-scale document corpora, ingestion growing 10x every six months, data collection across 50+ jurisdictions, and government-level security for the world's most sensitive matters
- Ship across the stack — React and TypeScript alongside Python and Postgres — architecting intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows
- Mentor senior and staff engineers, and raise the bar for how the whole org builds
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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