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Patreon is a media and community platform with 300,000+ creators, 100 million+ free memberships, and 25 million+ paid memberships. The company has generated $10 billion+ for creators since inception and is a leader in funding the creative class.
You will lead the Infrastructure team, responsible for keeping Patreon's engineering organization fast and reliable. This is a people-management role where you will own the team roadmap and execution, balancing critical reliability work ("keep the site up") with strategic investments that accelerate engineering velocity ("make every engineer faster").
Key Responsibilities:
- Manage and grow individual contributors; own hiring, performance management, and career development for your organization
- Own operational excellence including observability standards, on-call structure, incident response, SLAs/SLOs, and Production Readiness Reviews (PRR)
- Partner closely with Product Engineering, Security, and Data leaders to ensure infrastructure and tooling decisions do not become bottlenecks for product delivery
- Drive the team's mission to support a consumer product at scale with high availability and performance requirements
The role is open to fully remote candidates or those able to work hybrid (3 days per week in-office) in New York or San Francisco. Patreon operates a hybrid model where office-based employees are expected in-office two days per week; remote-eligible candidates are exempt from this requirement.
Paratreon values: Put Creators First, Build with Craft, Make it Happen, Win Together. The company is committed to workplace diversity and inclusion and welcomes applications from candidates whose experience may not match every bullet point.
Requirements:
- 10+ years of engineering experience, including 5+ years in engineering management (ideally with experience managing managers or senior individual contributors 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
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 organizational level, including adoption metrics and guardrails
