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Director of Engineering, Capacity Management (Ads)

Meta

Menlo Park, CAJob$271–347K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$271–347K/yr
Location
Menlo Park, CA
Work Authorization
Not specified

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Job overview

Meta seeks a Director of Engineering to lead Ads capacity management across more than ten platform organizations. The role owns program outcomes, standards, shared infrastructure, telemetry, and processes for capacity planning, attribution, fulfillment, and clawback. The director leads senior engineering managers and individual contributors, allocates central headcount across platform organizations, and aligns technical investment with financial considerations while influencing senior stakeholders.

Skills & qualifications

RequiredNice to have

Skills

Capacity ManagementInfrastructure LeadershipDistributed SystemsPlatform EngineeringCapacity PlanningResource SchedulingML InfrastructureRanking SystemsRecommendation SystemsCapacity AllocationQuota ManagementChargeback SystemsShowback SystemsFinance SystemsBilling SystemsCompliance SystemsAdvertisingStrategic PlanningCollaborationCommunication

Qualifications

Bachelor's in Computer Science, Computer Engineering, or Related Field or Equivalent12+ Years Software Engineering Experience7+ Years Engineering Management ExperienceLarge-Scale Infrastructure LeadershipLarge Cross-Organizational Program LeadershipHeadcount or Investment AllocationSenior Leader InfluenceTechnical Investment FramingTechnical Organization LeadershipCompany-Level Strategy InfluenceAccelerator Fleet Experience

Full job description

Summary:

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.

Required Skills:

Director of Engineering, Capacity Management (Ads) Responsibilities:

  1. Set and drive the long-term technical strategy and roadmap for ad's capacity management, efficiency, and attribution

  2. Build, manage, and support a team of senior engineering managers and senior individual contributors

  3. Define the capacity maturity model standards that ads platforms are measured against, and drive adoption across approximately ten platform organizations

  4. Own 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 enforceable

  5. Partner with platform, infrastructure, Finance, and Product Area leaders to agree on roles, responsibilities, and headcount accounting, and to close identified capability gaps

  6. Frame infrastructure investment in terms of dollars, ROI, and risk for senior engineering and business leadership

  7. Identify new opportunities, risks, and priorities for the organization, and establish effective strategies to execute against them

  8. Foster a culture of rigorous execution and high standards for engineering quality

  9. Uphold the principles of respect, integrity, collaboration, and innovation

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

  2. 12+ years of experience in software engineering, infrastructure, or a related technical discipline

  3. 7+ years of engineering management experience, including managing engineering managers

  4. Experience leading large-scale infrastructure efforts, such as capacity management, fleet or cloud infrastructure, distributed systems, or large-scale platform engineering

  5. Experience 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 deliverables

  6. Experience allocating headcount or investment across organizations that you do not directly manage, and governing the outcomes it buys

  7. Experience in influencing and aligning senior engineering and cross-functional leaders, including at the VP level

  8. Experience framing technical investments in business terms, including cost, ROI, and risk

  9. Experience in recruiting, building, structuring, and leading technical organizations, including performance management

  10. Ability to tackle problems ranging from technical implementation to strategic planning

  11. Excellent collaboration and communication skills to navigate complex, cross-functional environments

Preferred Qualifications:

Preferred Qualifications:

  1. Experience in influencing company-level strategy or investment decisions

  2. Experience with accelerator fleets, capacity planning, or resource scheduling for ML training or serving

  3. Experience with large-scale ML infrastructure, ranking, or recommendation systems

  4. Experience in owning capacity allocation, quota, entitlement, or chargeback and showback systems at scale

  5. Exposure to adjacent disciplines such as finance, billing, or compliance systems

  6. Experience in advertising domains

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 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 [email protected].

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