Director of Engineering

Meta Careers; Menlo Park (CA); On-site; USD 271,000 - 347,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Director of Software Engineering to lead the Central Integrity team, responsible for building and scaling ML-powered systems to detect and disrupt harm at global scale across platforms. You will manage multiple engineering teams, set strategy, and partner with product, design, and data science to drive outcomes.

You will develop leadership capacity, drive high-impact projects, and ensure alignment with Meta's values and compliance.

Qualifications

• 10+ years of technical software engineering experience.
• 7+ years in engineering management, including managers.
• Proven success delivering large-scale ML initiatives with cross-functional partners.

Responsibilities

• Build, manage, and support multiple ML engineering teams.
• Define and execute engineering strategy and multi-team roadmaps.
• Scale organizations by attracting and developing engineers and managers.
• Collaborate with product, design, and data science to ensure outcomes.
• Identify and resolve cross-functional risks and blockers.

Job description

Meta is seeking a Director of Software Engineering to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is the role for you.Director of Engineering Responsibilities:Build, manage, and support varied teams of ML engineers and engineering managersDefine and execute engineering strategy and multi-team roadmaps that balance technical investment, emerging capabilities, and business prioritiesBuild and scale engineering organizations by attracting, developing, and retaining engineers and engineering managers across multiple teamsEstablish team structures and operating models that maximize impact while minimizing organizational complexity and execution overheadPartner with product, design, and data science counterparts to drive shared accountability for outcomes across the full product development lifecycleProactively identify and resolve the largest cross-functional execution risks, including vision gaps, dependency conflicts, and organizational blockersDevelop a leadership bench through both external hiring and internal growthChampion engineering craft and quality standards across teams, fostering a self-reinforcing culture of continuous improvementMonitor and act on organizational health signals to maintain high engagement, low attrition, and effective team dynamics across reporting linesContribute to company-wide engineering initiatives including recruiting pipelines, cross-functional working groups, and site-level programsEnsure teams operate in alignment with Meta's values, compliance obligations, and ethical standards, serving as an escalation point for concernsMinimum Qualifications:10+ years of technical industry experience in software engineering7+ years of engineering management experience, including managing other engineering managersDemonstrated experience in delivering large scale impact leveraging Machine Learning and partnering with cross-functional partnersTrack record of building and scaling engineering organizations across multiple teams or product areasExperience in establishing engineering strategy and roadmaps that span multiple teams and cross-functional partnersExperience diagnosing and resolving complex organizational health challenges, including retention, team structure, and leadership developmentPreferred Qualifications:Expertise in managing Machine Learning Engineers and partnering with Technical Leads to drive modeling strategy and its executionExperience managing engineering portfolios at different lifecycle stages, from early-stage development through scaled production systemsExperience driving engineering efficiency improvements that benefit teams beyond direct reporting linesTrack record of building engineering leadership pipelines through both external hiring and internal developmentAbout 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 WhatsApp 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.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$271,000/year to $347,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.