Engineering Director

Meta•Menlo Park, CA

10d•$271,000 - $347,000

About The Position

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.

Requirements

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

Nice To Haves

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

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