Senior Engineering Manager, Model Infrastructure

Harvey

Engineering Manager leading the software engineering team for Model Infrastructure at Harvey. Overseeing development of AI platforms and collaborating cross-functionally for operational excellence.

Posted 7/22/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $272,000 - $355,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading high-performing software engineering teams, with a focus on building scalable and reliable systems for AI model infrastructure. Proficient in defining technical roadmaps, improving operational excellence, and fostering a culture of mentorship and technical ownership.

Highest-signal resume keywords

Software Engineering ManagementLarge-Scale Distributed SystemsCloud InfrastructureOperational ExcellenceCross-Functional Leadership

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Hard Skills

Model InfrastructureScalabilityObservabilityAutomationCost OptimizationAPI MigrationsSDK UpgradesIncident ResponseData PipelinesModel Operations

Soft Skills

Excellent CommunicationMentorshipTeam BuildingInfluencing Technical StrategyCross-Functional Collaboration

Industry Keywords

AI ProvidersModel ProvisioningCapacity ManagementUnified Model ControllerModel SelectorHealth DashboardsEnd-to-End Model TelemetryInference EfficiencyProduction MonitoringVendor Relationships

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Comprehensive health, dental and vision coverage
Retirement benefits (401k match up to 4%)
Flexible PTO