Sr. Manager, Platform Engineering

UMT - Internal•San Francisco, CA

1d•$210,000 - $230,000

About The Position

UnitedMasters is seeking a Senior Manager of Platform Engineering to lead the team responsible for the core platforms, tools, and services that help engineering teams build and operate software more effectively. This role will report to the VP of Engineering and lead a team of 6–8 engineers responsible for platform engineering, infrastructure, developer experience, data platform, and the agent platform that enables AI agents to be deployed in the product. The mission of the team is to empower product development teams by providing scalable platforms, tools, education, and guidance that streamline the software development lifecycle: from coding to deployment and operations, and drive practical adoption of agentic development across engineering. The ideal candidate will be deeply technical, hands-on, execution-oriented, and passionate about improving engineering productivity. They should be able to set direction, develop talent, partner effectively across teams, and drive measurable improvements in how engineers build and operate software.

Requirements

Minimum of 5+ years of experience directly managing engineers as their formal people manager
Experience leading platform engineering teams that own shared platform capabilities, infrastructure, developer productivity, and internal tooling.
Experience driving adoption of agentic development practices across engineering teams, with demonstrated improvements in developer productivity, delivery speed, and software quality.
Experience building AI platform capabilities that enable teams to deploy AI agents in the product, including agent orchestration frameworks, tool integration, memory and context management, evaluations, observability, access controls, auditability, cost controls, and security guardrails.
Strong technical depth across AWS, Kubernetes, CI/CD, service architecture, observability, infrastructure as code, and modern software delivery.
Strong execution skills, including planning, prioritization, stakeholder management, and follow-through.
Ability to influence teams through clear communication, strong technical judgment, and practical enablement.
Experience hiring, coaching, and developing senior engineers and technical leads.
Built or led platform capabilities for deploying AI agents, such as agent orchestration frameworks, tool integration, context management, evaluations, and guardrails?

Responsibilities

Lead, coach, and develop a high-performing platform engineering team.
Define and execute the platform engineering roadmap across core platform services, infrastructure, developer experience, data platform, agent platform, and agentic development adoption.
Build the agent platform capabilities that enable product teams to create, test, deploy, monitor, and operate AI agents in the product.
Lead adoption of agentic development practices across engineering, including tools, training, standards, and guardrails.
Own cloud infrastructure, Kubernetes, CI/CD, environments, infrastructure as code, release tooling, monitoring, alerting, and internal automation.
Improve the developer experience by making it easier for engineers to build, test, deploy, debug, and operate software.
Own the data platform foundations, including data infrastructure, ingestion, orchestration, data quality, access controls, cataloging, and governance.
Improve reliability, scalability, security, and cost efficiency across infrastructure, platform services, and data systems.