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# Senior Engineering Manager, Infrastructure + Developer Productivity

- **Company:** Patreon, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Software Construction, System Availability, AI Coding Agents, Kubernetes
- **Published:** November 12, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-engineering-manager-infrastructure-developer-productivity--43f62205-ec69-49e7-a5d6-2ecd4f3dd730

## About the Role

* Required:
 + 10+ years of engineering experience, including 5+ years in engineering management, ideally with experience managing managers or senior ICs across multiple teams
 + Direct experience leading infrastructure, platform, or developer-productivity teams supporting a consumer product at scale
 + Familiarity with cloud infrastructure (AWS/GCP), Kubernetes, and infrastructure-as-code tooling
 + Comfort operating scalable production systems with high availability and performance requirements
 + Strong cross-functional partnership skills; you'll work daily with Product Engineering, Security, and Data leads
 * Nice to Have
 + Experience standing up or scaling developer tooling (CI/CD, testing platforms, internal dev environments)
 + Exposure to AI-assisted software development. Direct experience rolling out AI coding tools/agents at an organizational level, including adoption metrics and guardrails.

## Description

We are looking for a Senior Engineering Manager to lead the Infrastructure & Developer Productivity teams, which are responsible for Patreon's core infrastructure, developer productivity, and AI enablement. The team's mission is to keep Patreon's engineering org fast, and reliable, and ready for an AI-native way of building software., * Manage and grow ICs; own hiring, performance, and career development for your org.

 * Own operational excellence: observability standards, on-call structure, incident response, SLAs/SLOs, and Production Readiness Reviews (PRR).
 * Partner closely with Product Engineering, Security, and Data leaders so infrastructure and tooling decisions don't become a bottleneck for product delivery
 * Drive the org's AI-enablement strategy - deciding where to standardize tooling/workflows and where to let teams choose their own path