Director of Engineering

Meta; Seattle (WA); Presencial; USD 271.000 - 347.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bonus

Equity

Benefits

Descripción de la vacante

Meta is seeking a Director of Software Engineering for the Central Integrity team in Seattle, WA. This role leads ML engineers and engineering managers to build and deploy AI-driven safety systems at a global scale, protecting users across platforms.

You will define engineering strategy, roadmaps, and leadership pipelines while partnering with product, design, and data science to deliver end-to-end product outcomes. This is a high-impact, mission-driven leadership role at Meta.

Formación

• 10+ years of software engineering experience.
• 7+ years of engineering management experience, including managing other engineering managers.
• Experience delivering large-scale impact using Machine Learning and cross-functional collaboration.

Responsabilidades

• Build, manage, and support ML engineering teams and engineering managers.
• Define and execute engineering strategy and multi-team roadmaps.
• Scale engineering organizations through attracting and developing engineers and managers.
• Establish team structures and operating models to maximize impact and minimize complexity.
• Partner with product, design, and data science to drive outcomes across the product lifecycle.
• Identify and resolve cross-functional execution risks and blockers.
• Develop leadership through external hiring and internal growth.
• Champion engineering craft and quality standards across teams.
• Monitor organizational health and maintain high engagement and low attrition.
• Contribute to company-wide engineering initiatives and site-level programs.
• Ensure alignment with Meta's values, compliance, and ethics.

Conocimientos

Software Engineering

Leadership

Herramientas

Machine Learning Platforms

Descripción del empleo

Summary:

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:

1. Build, manage, and support varied teams of ML engineers and engineering managers
2. Define and execute engineering strategy and multi-team roadmaps that balance technical investment, emerging capabilities, and business priorities
3. Build and scale engineering organizations by attracting, developing, and retaining engineers and engineering managers across multiple teams
4. Establish team structures and operating models that maximize impact while minimizing organizational complexity and execution overhead
5. Partner with product, design, and data science counterparts to drive shared accountability for outcomes across the full product development lifecycle
6. Proactively identify and resolve the largest cross-functional execution risks, including vision gaps, dependency conflicts, and organizational blockers
7. Develop a leadership bench through both external hiring and internal growth
8. Champion engineering craft and quality standards across teams, fostering a self-reinforcing culture of continuous improvement
9. Monitor and act on organizational health signals to maintain high engagement, low attrition, and effective team dynamics across reporting lines
10. Contribute to company-wide engineering initiatives including recruiting pipelines, cross-functional working groups, and site-level programs
11. Ensure teams operate in alignment with Meta's values, compliance obligations, and ethical standards, serving as an escalation point for concerns

Minimum Qualifications:

1. 10+ years of technical industry experience in software engineering
2. 7+ years of engineering management experience, including managing other engineering managers
3. Demonstrated experience in delivering large scale impact leveraging Machine Learning and partnering with cross-functional partners
4. Track record of building and scaling engineering organizations across multiple teams or product areas
5. Experience in establishing engineering strategy and roadmaps that span multiple teams and cross-functional partners
6. Experience diagnosing and resolving complex organizational health challenges, including retention, team structure, and leadership development

Preferred Qualifications:

1. Expertise in managing Machine Learning Engineers and partnering with Technical Leads to drive modeling strategy and its execution
2. Experience managing engineering portfolios at different lifecycle stages, from early-stage development through scaled production systems
3. Experience driving engineering efficiency improvements that benefit teams beyond direct reporting lines
4. Track record of building engineering leadership pipelines through both external hiring and internal development

Public Compensation:

$271,000/year to $347,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affliative 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].