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Harvey

Builds AI software for lawyers

Senior Engineering Manager - Backend Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$272k - $355k /yrHybrid

About the Job

Requirements

  • Six or more years of software engineering experience and three or more years of engineering management experience, including building strong teams and delivering complex backend or platform systems.
  • Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance.
  • Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams, balancing useful abstractions with user flexibility.
  • Technical depth to participate directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase.
  • A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution.
  • Strong product instincts for developer tools, including listening to engineers, understanding sources of friction, and translating feedback into simpler, more effective development workflows.
  • Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production.
  • Clear communication and ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout.
  • Hands-on use of AI coding agents and opinions on what makes a codebase safe for them to work in.

Responsibilities

  • Lead and grow the Backend Platform team by hiring, coaching, and retaining engineers, giving them clear ownership, meaningful technical challenges, and room to grow.
  • Define the platform’s technical vision and roadmap by partnering with product engineering teams, identifying high-impact investments, and delivering improvements to their daily work.
  • Guide the design of shared backend frameworks for database access, session management, caching, request handling, and streaming, with clear interfaces and strong defaults.
  • Work with Infrastructure to evolve application use of databases, replicas, and new storage systems, making these capabilities accessible without requiring each product team to solve the same problems.
  • Build a data access layer that lets entities move to new stores such as key-value or NoSQL systems without product changes; make read replicas usable and move high-volume data off the primary database.
  • Load test systems to determine behavior under three times the load; add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation.
  • Partner with Security and product teams on safe customer-data handling, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production.
  • Establish modular boundaries, enforceable contracts, and automated checks so humans and AI can reason about, review, and ship code changes with confidence.
  • Reduce latency, improve observability, and make production issues easier to diagnose; measure success through adoption, developer productivity, and performance and reliability of products built on the platform.
  • Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs.
  • Partner with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption.

Desired Qualifications

  • Experience with Python and frameworks such as Flask or FastAPI is valuable.

About the Company

Harvey

Builds AI software for lawyers

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2022

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