Staff Full Stack Software Engineer, Harvey

$231-314.4k

Offers Equity & Bonus

React

CSS

TypeScript

Python

Postgres

Senior and Expert level

San Francisco Bay Area

Domain-specific AI for legal and professional services

Be an early applicant

Domain-specific AI for legal and professional services

501-1000 employees

B2BArtificial IntelligenceLegalSaaS

Be an early applicant

$231-314.4k

Offers Equity & Bonus

React

CSS

TypeScript

Python

Postgres

Senior and Expert level

San Francisco Bay Area

501-1000 employees

B2BArtificial IntelligenceLegalSaaS

Company mission

To help professionals develop expertise, faster.

Job

Company

Role

Who you are

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
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
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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