Director of Engineering, Capacity Management (Ads)

We are looking for a Director of Engineering to lead capacity management for the Ads organization at Meta. You will own the standard for how Ads platforms plan, attribute, and govern capacity, and you will build the shared foundations, telemetry, and central processes that make that standard real: rate cards and resource pricing, demand-to-fulfillment planning, usage attribution, launch and quota governance, efficiency validation and clawback, and regression management. The work spans large-scale distributed systems, data infrastructure, and ML serving and training infrastructure, and it requires fluency in both the technical and the financial sides of the problem.This is a program leadership role. You will own the end-to-end outcomes of Ads Platform Capacity; that every change at the ads level is attributed and charged to the right party, and that platforms can fulfill and claw back capacity reliably. You will lead this program across 10+ platforms, with teams inside those platforms - and the platform leads themselves - formally part of the program and accountable for delivering their part. You will distribute the headcount from a central pool to those platform organizations that are directly accountable for their platform outcomes. You will directly lead a team of senior engineering managers and senior individual contributors, and drive the rest of the program through shared standards, metrics, infrastructure, and the headcount you allocate. We're looking for a leader with deep infrastructure credibility, experience communicating strategy and influencing decisions with senior and executive stakeholders, and a track record of driving multi-org programs where they owned the outcome without owning the headcount. Director of Engineering, Capacity Management (Ads) Responsibilities: Set and drive the long-term technical strategy and roadmap for ad's capacity management, efficiency, and attributionBuild, manage, and support a team of senior engineering managers and senior individual contributorsDefine the capacity maturity model standards that ads platforms are measured against, and drive adoption across approximately ten platform organizationsOwn the end-to-end outcomes of the Ads capacity management program: complete attribution and chargeback of Ads-level capacity changes, and reliable fulfillment and clawback across platforms. Build the tooling and telemetry that replace manual tracking, so capacity consumption and efficiency gains are measurable and enforceablePartner with platform, infrastructure, Finance, and Product Area leaders to agree on roles, responsibilities, and headcount accounting, and to close identified capability gapsFrame infrastructure investment in terms of dollars, ROI, and risk for senior engineering and business leadershipIdentify new opportunities, risks, and priorities for the organization, and establish effective strategies to execute against themFoster a culture of rigorous execution and high standards for engineering qualityUphold the principles of respect, integrity, collaboration, and innovation Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience12+ years of experience in software engineering, infrastructure, or a related technical discipline7+ years of engineering management experience, including managing engineering managersExperience leading large-scale infrastructure efforts, such as capacity management, fleet or cloud infrastructure, distributed systems, or large-scale platform engineeringExperience leading a large cross-organizational program (100+ people across multiple organizations) where you owned the end-to-end outcome and held partner organizations accountable for their deliverablesExperience allocating headcount or investment across organizations that you do not directly manage, and governing the outcomes it buysExperience in influencing and aligning senior engineering and cross-functional leaders, including at the VP levelExperience framing technical investments in business terms, including cost, ROI, and riskExperience in recruiting, building, structuring, and leading technical organizations, including performance managementAbility to tackle problems ranging from technical implementation to strategic planningExcellent collaboration and communication skills to navigate complex, cross-functional environments Preferred Qualifications: Experience in influencing company-level strategy or investment decisionsExperience with accelerator fleets, capacity planning, or resource scheduling for ML training or servingExperience with large-scale ML infrastructure, ranking, or recommendation systemsExperience in owning capacity allocation, quota, entitlement, or chargeback and showback systems at scaleExposure to adjacent disciplines such as finance, billing, or compliance systemsExperience in advertising domains About 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 accommodations-ext@meta.com. $271,000/year to $347,000/year + bonus + equity + benefits Individual 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.