Staff Backend Software Engineer, Harvey
More information about location
3 days a week in office
Generative AI for legal teams
Be an early applicant
Generative AI for legal teams
201-500 employees
Be an early applicant
More information about location
3 days a week in office
201-500 employees
Company mission
To help build the future of professional services.
Role
Who you are
- This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration
- 5+ years (post-BS/MS) of backend-focused software engineering experience on platform and/or product-oriented teams
- Experience working across the stack to ship user-facing features with measurable impact
- Strong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architectures
- Familiarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrations
- Track record of shipping highly intuitive products, strong attention to detail
- Experience building backend platforms that can support multiple product lines
- Strong programming skills and general Computer Science knowledge
What the job involves
- As a Staff Backend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers
- This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure
- We also build enterprise-grade collaboration experiences for law firms
- You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools
- Design and build foundational backend infrastructure including authentication, permissions, feature flagging, notifications, and document management integrations
- Build and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teams
- Lead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controls
- Maintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal data
- Collaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiences
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 Gen 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 will be 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 7 rounds)
Jun 2025
$300m
SERIES E
Feb 2025
$300m
SERIES D
Total funding: $806.1m
Company benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits (401k match up to 4%)
- Flexible PTO
Company HQ
SoMa, San Francisco, CA
Leadership
Winston Weinberg
(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
(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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