Software Engineering Manager

Meta is seeking a Software Engineering Manager to lead multiple teams of engineers and technical leaders delivering large-scale software systems. In this role, you will drive technical strategy, shape engineering roadmaps, and ensure high-quality execution across complex, high-impact projects. You will stay hands-on technically, leverage AI tools to expand your team's delivery capacity, and foster a culture of engineering craft, AI-nativeness, and cross-functional ownership. You will partner closely with product, design, and data science to build systems that serve billions of people worldwide.

Responsibilities

• Manage multiple teams of engineers and technical leaders delivering on large-scale, high-impact software projects with multiple levels of dependencies
• Actively shape technical strategy and roadmap direction, using team-wide insights to set and prioritize longer-term engineering goals
• Stay technically engaged by using AI tools to evaluate technical direction, assess code quality, and contribute directly across teams
• Drive AI adoption within the team to expand delivery capacity and improve engineering workflows and tooling
• Proactively detect and resolve the largest execution challenges across teams, whether related to vision, strategy, technical direction, or people
• Build and grow the team by sourcing and closing candidates, developing technical leaders, and maintaining a high bar for performance including AI fluency
• Ensure org health by monitoring team sentiment, diagnosing issues, and taking proactive measures to maintain high retention and engagement
• Model cross-functional ownership by ensuring engineers engage substantively with product, design, and data partners rather than operating in silos
• Hold leaders accountable for managing performance, delivering constructive feedback, and maintaining engineering craft standards across the organization
• Represent the team's work and progress to broader organizational leadership, communicating risks, priorities, and implications of AI adoption clearly

Minimum qualifications

• 8+ years of software engineering experience, including hands-on technical contribution
• 4+ years of engineering management experience, including managing teams with technical leaders or other managers
• Experience driving technical strategy and roadmap planning across multiple concurrent large-scale software projects
• Experience recruiting, developing, and retaining engineering talent, including performance management of leaders
• Experience partnering cross-functionally with product, design, and data science to define requirements and deliver software at scale Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adopting and scaling AI-assisted development tools and workflows across an engineering organization
• Experience building and shipping consumer-facing or infrastructure software systems at significant scale
• Track record of managing managers and developing engineering leaders in ambiguous, high-growth environments
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ability to influence technical direction and organizational priorities beyond direct team scope
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)