Staff Technical Program Manager, Infrastructure FinOps

<div class="content-intro"><p><strong>About Pinterest:</strong></p> <p>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.</p> <p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p> <p>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.</p> <p>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 <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</p></div><p><strong>The Team</strong></p> <p>Pinterest is a visual discovery platform where people go from inspiration to action, the Infra Governance space plays a foundational role: it helps ensure Pinterest’s infrastructure strategy can scale with product demand while remaining disciplined on cost, capacity, and long-term platform health. What is especially exciting about this team is the mix of technical strategy, planning rigor, and business impact—it sits close to infrastructure and platform engineering, close to Product execution, and close to the investment decisions that determine where Pinterest scales next. It is also an unusually strong fit for a senior IC TPM who wants to build governance mechanisms, improve transparency into where infrastructure and AI investment is going, and redesign high-toil operating workflows with AI-first methods. The TPM interview framework reinforces that this kind of role is about ambiguity handling, XFN influence, technical judgment, and mechanism-building at scale.</p> <p>&nbsp;</p> <p><strong>What you’ll do:</strong></p> <ul> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>Operationalize durable mechanisms for budgeting reviews, forecast updates, variance investigations, anomaly management, and optimization follow-through in partnership with Product, Engineering, Finance, Security, and Data.</li> <li>Lead trade-off discussions that improve decision quality: synthesize technical inputs, business priorities, and financial signals into clear options, recommendations, and escalation-ready decisions.</li> <li>Build the governance layer for execution: run portfolio reviews, dependency management, roadmap health reviews, planning checkpoints, and executive updates that keep large cross-functional programs aligned and on track.</li> <li>Identify high-leverage opportunities to automate operational toil, especially in recurring workflows like status synthesis, planning reviews, dependency tracking, intake triage, forecast reconciliation, and action/decision capture.</li> <li>Build AI-assisted frameworks, lightweight models, and workflow automations that improve decision-making, including dashboards, scenario tools, cost-model templates, token-usage views, and planning helpers that increase signal while reducing manual overhead.</li> <li>Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk &amp; dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.</li> <li>Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).</li> <li>Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.</li> </ul> <p>&nbsp;</p> <p><strong>What we’re looking for:</strong></p> <ul> <li>8+ years of Technical leadership experience owning large, ambiguous, cross-functional programs with senior stakeholder visibility and durable business impact.</li> <li>Bachelor’s degree in a relevant field such as computer science, computer and information technology, or equivalent experience.</li> <li>Strong experience in infrastructure, platform, cloud economics, or adjacent environments where capacity, cost, performance be managed together.</li> <li>Proven ability to translate strategy into executable programs: turning broad technical goals into roadmaps, governance mechanisms, planning cadences, and measurable outcomes.</li> <li>Demonstrated strength in capacity planning, budgeting, forecasting, variation planning in environments with meaningful scale and complexity.</li> <li>Strong financial modeling and cost modeling skills: able to build simple, credible models, pressure-test assumptions, and use data to guide prioritization and trade-off discussions.</li> <li>Experience building transparency mechanisms for investment and utilization, including understanding where infrastructure or AI spend is going, where it is expected to go, and how ownership and allocation should work.</li> <li>Strong technical breadth and judgment: able to partner effectively with engineering teams, drive clarity around requirements, and facilitate technical trade-offs without relying on codin