Production Engineering Manager

Meta is seeking a Production Engineering Manager to lead a team responsible for the reliability, scalability, and operational excellence of Meta's production infrastructure and services. In this role, you will manage a team of production engineers who own the full lifecycle of systems — from capacity planning and performance optimization to incident response and automation. You will drive technical strategy, champion AI-augmented workflows, and partner closely with software engineering, infrastructure, and product teams to ensure Meta's services operate at global scale with high availability and efficiency.

Production Engineering Manager Responsibilities:

Manage a team of production engineers delivering on reliability, scalability, and operational efficiency across multiple interdependent production systems
Drive roadmap creation for infrastructure reliability initiatives, capacity planning, and automation efforts, increasing team scope as AI-driven productivity improves throughput
Lead adoption of AI-augmented engineering workflows across the team, sharing learnings and best practices with the broader production engineering organization
Contribute hands-on to technical work including code, system design reviews, and incident response, using AI tooling to expand personal and team reach across disciplines
Partner cross-functionally with software engineering, data science, and product teams to unblock dependencies and ensure smooth execution of infrastructure and reliability projects
Proactively identify and resolve sources of operational toil — including on-call load, alerting gaps, and technical debt — and implement automation to increase team efficiency and scope
Set clear goals and expectations for individual team members, provide timely and actionable feedback, and actively develop engineers' skills including proficiency with AI-augmented workflows
Establish and monitor service-level objectives, reliability metrics, and engineering efficiency indicators to maintain high engineering craft and product quality
Communicate production system health, incident learnings, and infrastructure strategy effectively to engineering leadership and cross-functional stakeholders
Recruit, onboard, and retain production engineering talent, ensuring the team structure minimizes single points of failure and supports sustainable growth

Minimum Qualifications:

4+ years of experience in production engineering, site reliability engineering, or systems software engineering
2+ years of experience managing production engineering or infrastructure engineering teams
Experience driving reliability and scalability improvements for large-scale distributed systems, including incident management, capacity planning, and performance optimization
Experience coding and debugging in at least one systems or scripting language (such as Python, C++, Go, or Bash) and contributing technically alongside a team
Experience setting team goals, managing execution against roadmaps, and communicating infrastructure strategy to technical and non-technical stakeholders

Preferred Qualifications:

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Track record of cross-functional collaboration with software engineering and data science teams to co-own reliability outcomes for consumer-facing or infrastructure services
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience leading adoption of AI-assisted tooling or automation frameworks within an engineering team to expand operational scope and reduce toil
Experience managing on-call rotations, defining service-level objectives, and implementing observability and alerting improvements at scale
Familiarity with container orchestration, service mesh architectures, or large-scale deployment pipelines in a production environment
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Apply for this job
Take the first step toward a rewarding career at Meta.
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.
Sign up
to ask follow-up questions