In this role, you will define the engineering strategy and organizational structure for a portfolio of teams, driving high-impact product and platform initiatives from inception through execution. You will partner closely with product, design, and data science leadership to shape roadmaps, establish engineering culture, and accelerate the adoption of AI-augmented workflows that expand what engineering teams can accomplish. This is a role for a leader who thrives in ambiguity, builds strong organizations, and drives outcomes at company scale.

Responsibilities

Define and execute engineering strategy and roadmap across a portfolio of teams, balancing engineering craft, AI capability investments, and business priorities
• Build and grow the engineering organization by attracting, developing, and retaining high-performing engineers and engineering managers at multiple levels
• Rethink team structures and investment strategies as AI changes what engineering teams can own and accomplish
• Partner with product, design, and data science leaders to establish shared accountability for product quality, technical direction, and business outcomes
• Proactively identify and resolve the largest execution risks across teams, including vision gaps, dependency blockers, and organizational health challenges
• Drive AI transformation across the organization, including adoption of AI-augmented development workflows and tooling
• Establish a self-reinforcing engineering culture that values craft, operational excellence, and continuous improvement
• Monitor and act on organizational health signals, including team engagement, retention, and manager effectiveness, to maintain a high-performing and collaborative environment
• Contribute to company-wide engineering initiatives including recruiting pipelines, cross-functional working groups, and site-level programs
• Ensure teams operate in compliance with Meta's code of conduct, company policies, and responsible AI principles, modeling ethical decision-making at the leadership level

Minimum Qualifications
• 10+ years of software engineering experience, including experience in technical leadership roles
• 6+ years of engineering management experience, including managing managers and leading multi-team organizations
• Track record of defining and executing engineering strategy across multiple teams or product areas with measurable business impact
• Experience building and scaling engineering organizations through hiring, development, and retention of engineers and engineering managers
• Experience partnering cross-functionally with product, design, and data science to drive shared outcomes at an organizational level

Preferred Qualifications
• Experience establishing engineering quality standards and operational practices that improve efficiency and reliability across multiple teams
• Experience leading engineering organizations through significant platform or technology transitions, including the adoption of AI-augmented development practices
• Track record of building engineering leadership benches through both external hiring and internal development of high-potential engineers and managers