Sr. Manager, Capacity Engineering

Pinterest is seeking a Sr. Manager to lead our Capacity Engineering team. The team ensures that Pinterest's cloud infrastructure has the capacity it needs while operating reliably, efficiently, and with clear financial accountability.

You will lead the full portfolio across forecasting and supply, capacity-management systems, compute and GPU efficiency, infrastructure data and governance, and capacity operations.

Responsibilities:

• Lead the Capacity Engineering team and establish its 12–18 month functional and technical strategy, roadmap, and success measures tied to Infrastructure and company goals.
• Develop CPU and GPU forecasts and supply plans that account for workload demand, delivery constraints, cost, and reliability requirements.
• Guide the design and delivery of capacity requests, reservations, entitlements, allocation policy, and infrastructure-data systems.
• Improve utilization and efficiency across Kubernetes-based shared compute platforms, GPU infrastructure, and other cloud environments while protecting availability and developer velocity.
• Establish trusted metrics and operating practices for capacity risk, allocation, infrastructure cost, realized savings, and system health.
• Partner with Infrastructure, SRE, Finance, product, and platform teams and cloud providers to make capacity and infrastructure-investment decisions.
• Plan team structure and longer-term headcount; recruit and close senior talent; develop technical leaders; and sustain an inclusive, accountable, and high-performing team.
• Use AI to accelerate capacity analysis, forecasting, operational investigations, and repeatable team workflows while applying judgment and verification to ensure quality.

Requirements:

• Bachelor's degree in computer science, a related field, or equivalent experience.
• Experience managing and developing teams that build or operate large-scale cloud infrastructure, distributed systems, compute platforms, or resource-management systems.
• Experience defining a 12-18 month functional and technical strategy tied to organizational goals and delivering results through senior technical leaders across a broad infrastructure portfolio.
• Technical experience in public-cloud infrastructure, highly available distributed systems, Kubernetes or shared-compute platforms, and capacity-management systems.
• Experience leading cross-functional infrastructure programs and communicating availability, cost, and capacity tradeoffs to Engineering, Finance, SRE, and cloud-provider stakeholders.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work, including testing, source-checking, data validation, and peer review.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Benefits:

• The position is eligible for equity.
• Base salary range: $208,592-$429,454 USD.

In-office requirement: This role will need to be in the office for in-person collaboration 1-2 times/quarter.