Sr. Manager, Capacity Engineering

1 hour, 48 minutes ago
Full-time
Executive
DevOps and Infrastructure
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010

Description

  • Lead the Capacity Engineering team and establish its 12–18-month strategy, roadmap, and success measures.
  • Develop CPU and GPU forecasts and supply plans accounting for demand, delivery constraints, cost, and reliability.
  • Guide capacity requests, reservations, entitlements, allocation policies, and infrastructure-data systems.
  • Improve utilization and efficiency across Kubernetes, GPU, shared-compute, and other cloud environments.
  • Establish metrics and operating practices for capacity risk, allocation, infrastructure cost, savings, and system health.
  • Partner with Infrastructure, SRE, Finance, product, platform teams, and cloud providers on investment decisions.
  • Plan team structure and headcount, recruit senior talent, develop technical leaders, and maintain a high-performing team.
  • Use AI for capacity analysis, forecasting, investigations, and repeatable workflows while verifying output quality.

Requirements

  • Bachelor’s degree in computer science, a related field, or equivalent experience.
  • Experience managing teams responsible for large-scale cloud infrastructure, distributed systems, compute platforms, or resource-management systems.
  • Experience defining and executing a 12–18-month technical and functional strategy through senior technical leaders.
  • Technical experience with public-cloud infrastructure, highly available distributed systems, Kubernetes, shared-compute platforms, and capacity-management systems.
  • Experience leading cross-functional infrastructure programs and communicating availability, cost, and capacity tradeoffs.
  • Demonstrated ability to use AI to improve workflow speed and quality.
  • Experience evaluating and verifying AI-assisted work through testing, source-checking, data validation, and peer review.
  • Strong integrity, ownership, data-protection practices, and accountability for final decisions and deliverables.

Benefits

  • Base salary range of $208,592–$429,454 USD for US-based applicants.
  • Equity eligibility.
  • Flexible remote work model with in-office collaboration approximately 1–2 times per quarter.
  • Role can be based anywhere in the country.
  • Equal opportunity workplace with accommodation support for applicants.

Interested in this position?

Apply directly on the company website

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