harvey
Engineering Manager, Model Infrastructure
At a Glance
- Location
- San Francisco, United States
- Employment
- FULL_TIME
- Experience
- 8+ years
- Compensation
- {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'minValue': 272000, 'maxValue': 355000, 'unitText': 'YEAR'}}
- Department
- Harvey
- Posted
- 2026-07-22
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Cloud
- Engineering
- Finance
- Legal
- Regulatory
Requirements
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.
Compensation & Benefits
$272,000 - $355,000 USD
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Responsibilities
As the Engineering Manager for Model Infrastructure, you'll lead the team responsible for the platform powering every model request across Harvey.
You'll partner closely with AI Research, Product Engineering, Infrastructure, and external AI providers to ensure our platform remains reliable, scalable, and cost-efficient as our business grows.
Model Infrastructure is one of Harvey's most strategic engineering organizations.
Every product capability—from chat experiences and agents to document workflows and future reasoning systems—depends on this platform.
Over the next several years, the team will evolve beyond operating third-party models to building the infrastructure that enables Harvey to train, evaluate, deploy, and operate our own frontier AI models.
This role offers the opportunity to shape the technical foundation of Harvey's AI platform and build an organization that will power the company's next phase of growth.