Engineering Manager, Harvey
Product Engineering
More information about location
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
More information about location
3 days a week in office
501-1000 employees
Company mission
To help professionals develop expertise, faster.
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
- 6+ years of experience as a product-focused fullstack or backend software engineer (post BS/MS), with a history of shipping real products to real users
- 2+ years of experience leading engineers, with clear ownership over both delivery and team health. Past management experience is a plus
- A proven ability to design and operate backend platforms that support multiple product lines at scale
- Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go)
- Excellent technical judgment: you know when to move fast, when to invest, and when to simplify
- A strong product instinct and attention to detail, with a track record of building intuitive, high-quality user experiences
- Demonstrated success building, motivating, and retaining high-performing teams in high-growth environments
- Solid computer science fundamentals and strong programming skills
- Grit and ownership mindset — you’re comfortable operating in ambiguity and taking responsibility for outcomes
- Bonus: experience with AI-powered applications, large-scale data systems, LLM evaluation, or complex internal platforms
What the job involves
- As a Engineering Manager, Product 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 product 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
- Own end-to-end delivery of core product initiatives, from technical design through execution and iteration, while directly managing a high-performing fullstack engineering team
- Set technical direction for large-scale, AI-powered systems, including:
- Retrieval over petabyte-scale document collections
- Product interfaces that enable organizations to collaborate with AI
- Long-horizon (1000+ step) planning agents for mission-critical workflows
- Government-grade security for highly sensitive data
- Evaluation of LLMs across a 10k+ leaf taxonomy of tasks
- Internet-scale data collection across 50+ jurisdictions
- Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long-term scalability in a fast-moving environment
- Lead hands-on when it matters: contribute to design, code, and architecture reviews, and dive into implementation to unblock the team or tackle the hardest problems
- Build and grow your team by hiring exceptional engineers, setting clear technical and behavioral standards, and investing in mentorship and career development
- Partner deeply with Product, Design, and AI to identify high-leverage opportunities and ship highly intuitive, detail-oriented user experiences
- Establish a strong engineering culture centered on simplicity, ownership, craftsmanship, and continuous improvement
- Align execution with company goals, ensuring technical investments directly support product strategy and long-term impact
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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