Technical Program Manager II, Infrastructure (Capacity & Efficiency)

Summary

Pinterest is a platform that helps people discover creative ideas and plan meaningful experiences. The company is seeking a Technical Program Manager II to support infrastructure capacity and efficiency programs, coordinating execution, stakeholder communication, usage analysis, and AI-enabled operational improvements.

Skills

• 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
• 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
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
• 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
• US based applicants only
• Experience at a large-scale consumer tech or infrastructure organization is a plus
• 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

Qualifications

Must Haves

• 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
• 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
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
• 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
• US based applicants only

Nice to Haves

• Experience at a large-scale consumer tech or infrastructure organization is a plus
• 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

Benefits

• The position is also eligible for equity.
• This role can be situated anywhere in the country, with in-office collaboration required 1-2 times every 6 months.