Director of Engineering, Capacity Management (Ads)

What you'll do

• Set the long-term technical strategy and roadmap for Ads capacity management, efficiency, and attribution; build and lead a team of senior engineering managers and individual contributors.
• Establish capacity maturity standards and drive adoption across approximately ten platform organizations, coordinating accountability and headcount allocation.
• Build tooling and telemetry for measurable capacity attribution, chargeback, fulfillment, and clawback; align infrastructure investments with Finance, Product, and engineering leaders.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of experience in software engineering, infrastructure, or a related technical discipline; 7+ years of engineering management experience, including managing engineering managers.
• Experience leading large-scale infrastructure efforts and a cross-organizational program of 100+ people, owning outcomes and partner accountability.
• Experience allocating headcount or investment across organizations not directly managed, influencing senior leaders including VP-level, and framing technical investments in cost, ROI, and risk.

Nice to have

• Experience with accelerator fleets, capacity planning, or resource scheduling for ML training or serving; large-scale ML infrastructure, ranking, or recommendation systems.
• Experience with capacity allocation, quota, entitlement, chargeback or showback systems; finance, billing, or compliance; or advertising domains.

Pay

$271,000/year to $347,000/year (base salary); bonus + equity (amount not stated)

Tools

distributed systems, data infrastructure, ML serving and training infrastructure

AI focus

The role spans ML serving and training infrastructure and may involve capacity planning or resource scheduling for ML training or serving.