Staff Technical Program Manager, Infrastructure Finops
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 produ
What this role actually needs.
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 produ Responsibilities: - Partner with Product and Engineering to translate infrastructure strategy into executable multi-quarter programs, with clear scope, sequencing, dependencies, governance forums, and measurable outcomes across the Infra Governance portfolio. - Lead capacity planning as a core operating motion: connect product demand, infrastructure supply, growth assumptions, and technical constraints into a durable planning cadence that enables earlier, better investment decisions. - Own budgeting, forecasting, and variance analysis for infrastructure governance programs, building clear visibility into where investment is going today, where it is expected to go next, and what is driving movement versus plan. - Develop financial models, cost models, and scenario-planning frameworks that translate technical choices into business impact and support explicit trade-off discussions across capacity, cost, reliability, performance, and speed. - Build an investment transparency matrix for infrastructure and AI spend, including ownership, allocation, utilization, forecast, actuals, and decision points, so leadership can quickly understand where resources are being consumed and where intervention is needed. - Establish governance for AI token utilization and allocation, including forecasting demand, tracking usage, improving transparency, and helping teams understand the financial implications of model and token consumption choices. Requirements: - Excellent cross-functional collaboration and executive communication: able to align teams with conflicting priorities, communicate clearly upward, and influence without direct authority; this is directly aligned to the XFN collaboration and communication expectations in the interview loop. - Experience building durable mechanisms rather than just managing tasks: governance processes, planning systems, dashboards, review cadences, and decision frameworks that scale across teams. - 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: FinOps and investment transparency experience: Experience applying FinOps-style operating principles to infrastructure or AI spend, including allocation, forecasting, reporting, optimization, and building transparency matrices that clarify ownership, utilization, and investment decisions. - Executive influence across senior leadership: Experience influencing directors, VPs, or executive leadership by presenting current state, risks, proposals, and informed trade-offs clearly and concisely, which is explicitly called out in the IC16 collaboration and influence expectations. Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Staff Technical Program Manager, Infrastructure Finops role.
- Partner with Product and Engineering to translate infrastructure strategy into executable multi-quarter programs, with clear scope, sequencing, dependencies, governance forums, and measurable outcomes across the Infra Governance portfolio.
- Lead capacity planning as a core operating motion: connect product demand, infrastructure supply, growth assumptions, and technical constraints into a durable planning cadence that enables earlier, better investment decisions.
- Own budgeting, forecasting, and variance analysis for infrastructure governance programs, building clear visibility into where investment is going today, where it is expected to go next, and what is driving movement versus plan.
- Develop financial models, cost models, and scenario-planning frameworks that translate technical choices into business impact and support explicit trade-off discussions across capacity, cost, reliability, performance, and speed.
- Build an investment transparency matrix for infrastructure and AI spend, including ownership, allocation, utilization, forecast, actuals, and decision points, so leadership can quickly understand where resources are being consumed and where intervention is needed.
- Establish governance for AI token utilization and allocation, including forecasting demand, tracking usage, improving transparency, and helping teams understand the financial implications of model and token consumption choices.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Excellent cross-functional collaboration and executive communication: able to align teams with conflicting priorities, communicate clearly upward, and influence without direct authority; this is directly aligned to the XFN collaboration and communication expectations in the interview loop.
- Experience building durable mechanisms rather than just managing tasks: governance processes, planning systems, dashboards, review cadences, and decision frameworks that scale across teams.
- 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: FinOps and investment transparency experience: Experience applying FinOps-style operating principles to infrastructure or AI spend, including allocation, forecasting, reporting, optimization, and building transparency matrices that clarify ownership, utilization, and investment decisions.
- Executive influence across senior leadership: Experience influencing directors, VPs, or executive leadership by presenting current state, risks, proposals, and informed trade-offs clearly and concisely, which is explicitly called out in the IC16 collaboration and influence expectations.
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Open the source listing from pinterestcareers.com, confirm the role is still active, then apply on the employer or ATS page.
Source: pinterestcareers.com · Source ID: 7770921 · Confidence: 90/100 · Last checked: May 7, 2026
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