[Remote] Sr. Manager, Capacity Engineering

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that helps people discover creative ideas and plan for meaningful experiences. The company is seeking a Sr. Manager to lead its Capacity Engineering team, overseeing cloud infrastructure capacity forecasting, supply planning, capacity-management systems, compute and GPU efficiency, infrastructure data governance, and capacity operations. The role also involves building high-performing teams and partnering with Infrastructure, SRE, Finance, product, platform teams, and cloud providers.

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

Skills

• 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
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country

Benefits

• The position is eligible for equity.
• Flexible work arrangement with in-office collaboration 1-2 times per quarter; the role can be situated anywhere in the country.

Company Overview

Company H1B Sponsorship