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Pinterest

Sr. Manager, Capacity Engineering

  • Remote
  • 6+ years

Salary

$208,592 - 429,454/ year

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Description

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.

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.
  • 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:
  • 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.

Where you’d work

Fully remote

You can work from

  • United States

No relocation

About the company

Pinterest

Also hiring in Palo Alto, United States, San Francisco, United States, Seattle, United States and 7 more places

27 of their 56 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

2 red flags

Fits Me

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Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Kubernetes
Seniority
Senior
Type
Full-time
Equity
Equity offered
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
DevOps & Infrastructure
Seniority
Senior
Experience
6+ years
Tech stack
  • Kubernetes

Location

Work model
Remote
Region
United States
Remote from
  • United States
Relocation
Not offered

Compensation

Salary
$208,592 - 429,454 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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