Technical Program Manager II, Infrastructure (Capacity & Efficiency)

Pinterest
New York, NY, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$103,965.0 - $214,044.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Distributed Systems Standard Sql Tableau (Software) Workflow Management Systems AI Infrastructure Data Processing Scripting Cloud Platform System Grafana
+1 more
Information Technology

Job description

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country

Requirements

  • 2-4 years of program or project management experience (or equivalent), ideally touching infrastructure, platform, or cloud environments.
  • Working knowledge of cloud platforms (AWS or similar) - compute, storage, and basic usage/cost concepts.
  • Interest in, and some exposure to, capacity management and infrastructure efficiency (right-sizing, utilization, waste reduction); deep FinOps expertise is not required.
  • Strong organizational and execution skills: able to track a program’s moving pieces, follow up, and keep things on schedule.
  • Clear written and verbal communication; comfortable presenting status and asks to engineering partners.
  • Collaborative and coachable - works well with engineers and more senior TPMs, seeks input, and takes feedback well.
  • Experience at a large-scale consumer tech or infrastructure organization is a plus.
  • AI-first execution mindset: demonstrated ability to use GenAI to accelerate planning, program operations, and stakeholder communications-starting with AI drafts and applying strong judgment to validate, refine, and drive decisions.
  • Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
  • Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls.
  • Preferred Qualifications
  • Direct exposure to a FinOps, cost management, or capacity-focused function (nice-to-have, not required).
  • Familiarity with dashboarding/BI tools (SuperSet, Tableau, Grafana, or similar).
  • Basic SQL or scripting skills to pull and interpret usage data.
  • Exposure to distributed systems, ML/AI infrastructure, or large-scale compute environments is a plus.
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

About the company

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.

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