Engineering Director

Meta is seeking an Engineering Director to lead and scale engineering organizations that build products connecting billions of people worldwide. 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.

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