Synced from Greenhouse · Sep 25

Manager, Capacity Engineering

PinterestSan Francisco, CA, US; Remote, USPosted Sep 25, 2026
Engineering ManagerRemoteSenior
Apply nowSave & get alerts

Mirrored from Pinterest's own Greenhouse careers system · refreshed hourly

152
Other open Pinterest roles
Sep 25
Posted
Greenhouse
Applicant system
Job descriptionReq 8046842

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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

What you’ll do: 

  • 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. 


What we’re looking for:

  • 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.

 

In-Office Requirement Statement: 

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • 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. 

 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

#LI-REMOTE

#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$208,592—$429,454 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View original posting on Greenhouse

What applying to Pinterest usually looks like

Based on publicly available information, candidates applying through greenhouse for Pinterest can typically expect an online application followed by an initial resume screen. If selected, candidates may be contacted by a recruiter for a phone or video conversation to discuss background and role fit. The process may include multiple stages such as technical or role-specific assessments, hiring manager conversations, and panel interviews with team members, depending on the position applied for. Take-home exercises or portfolio reviews are common for design, engineering, and data roles. Communication is generally handled through the Greenhouse platform, including scheduling and updates. Response times vary and may depend on team needs and role seniority. Candidates should prepare general behavioral and role-relevant technical questions, as these are commonly part of Greenhouse-based hiring workflows across many companies.

Based on publicly available information. LandEarly does not verify interview process details.

Land this one early - before the req fills.

LandEarly tailors your resume and screening answers to each posting, submits within minutes of a role going live, and tracks every application in one place.

Set up in minutes · Cancel anytime · No contract

Keep exploring

What this role pays, where else it is open, and how to write the application.

Manager, Capacity Engineering
Pinterest · San Francisco, CA, US; Remote, US
Apply