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Engineering Manager, Model Infrastructure

Harvey· Engineering
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Hybrid (San Francisco)$260k - $350kFull-timePosted 3mo ago

About the role

Engineering Manager for Model Infrastructure leading the platform powering Harvey's model requests. Responsible for reliability, scalability, cost-efficiency, and building infrastructure to train, evaluate, deploy, and operate models while partnering across AI Research, Product Engineering, Infrastructure, and external providers.

Responsibilities

  • Lead and grow a high-performing team of software engineers responsible for Harvey's Model Infrastructure platform.
  • Define the technical roadmap for model reliability, scalability, and operational excellence.
  • Build highly reliable systems for model provisioning, capacity management, failover, and incident response across multiple AI providers.
  • Own Harvey's multi-provider model platform, including provider integrations, SDK upgrades, API migrations, and onboarding new model providers.
  • Drive the evolution of our Unified Model Controller (UMC) and Model Selector platform to automatically detect degraded models and intelligently route traffic based on health, latency, quality, compliance, and cost.
  • Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end model telemetry.
  • Partner with Product Engineering to support new model launches, capacity planning, experimentation, and proactive production monitoring.
  • Lead initiatives to improve inference efficiency, reduce infrastructure costs, and increase model utilization across providers.
  • Build the infrastructure foundation for Harvey's future model training efforts, including data pipelines, model operations, training environments, and AI platform capabilities.
  • Partner with executive leadership on long-term AI infrastructure strategy and vendor relationships.
  • Recruit, mentor, and develop exceptional engineering talent while fostering a culture of technical excellence and operational ownership.

Qualifications

  • 8+ years of software engineering experience, including multiple years managing high-performing engineering teams.
  • Experience leading teams responsible for large-scale distributed systems or cloud infrastructure.
  • Strong technical background that enables you to guide architectural decisions and mentor senior engineers.
  • Experience operating highly available production services with strong reliability and operational excellence.
  • Experience building platforms that require scalability, observability, automation, and cost optimization.
  • Strong cross-functional leadership skills with the ability to partner effectively across Engineering, Research, Product, and external vendors.
  • Excellent communication skills and the ability to influence technical strategy across organizations.
  • A passion for building teams and developing engineering talent.

Skills

Required:Software engineering leadershipLarge-scale distributed systems / cloud infrastructureSystem reliability and observabilityCross-functional collaboration

Benefits

  • Comprehensive health, dental and vision coverage
  • retirement benefits (401k match up to 4%)
  • flexible PTO
Last updated Oct 22, 2026. Interested? Apply on the company site.
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