About Pinterest:
\nMillions 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.
\nAt 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.
\nDiscover 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.
\nCreating a career you love? It's Possible.
\nAt 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.
\nTo get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
\nThrough 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.
\nYou can read more about our AI interview philosophy and how we use AI in our recruiting process here.
\nThe Team:
\nPinterest 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.
\nWhat 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.
\nIt 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.
\nThe TPM interview framework reinforces that this kind of role is about ambiguity handling, XFN influence, technical judgment, and mechanism-building at scale.
\nWhat you'll do:
\nPartner 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.
\nLead 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.
\nOwn 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.
\nDevelop 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.
\nBuild 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.
\nEstablish 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.
\nOperationalize durable mechanisms for budgeting reviews, forecast updates, variance investigations, anomaly management, and optimization follow-through in partnership with Product, Engineering, Finance, Security, and Data.
\nLead trade-off discussions that improve decision quality: synthesize technical inputs, business priorities, and financial signals into clear options, recommendations, and escalation-ready decisions.
\nBuild 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.
\nIdentify 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.
\nBuild 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.
\nUse 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 & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
\nPrototype 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”).
\nFollow 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.
\nWhat we’re looking for:
\n8+ years of Technical leadership experience owning large, ambiguous, cross-functional programs with senior stakeholder visibility and durable business impact.
\nStrong experience in infrastructure, platform, cloud economics, or adjacent environments where capacity, cost, performance be managed together.
\nProven ability to translate strategy into executable programs: turning broad technical goals into roadmaps, governance mechanisms, planning cadences, and measurable outcomes.
\nDemonstrated strength in capacity planning, budgeting, forecasting, variation planning in environments with meaningful scale and complexity.
\nStrong 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.
\nExperience 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.
\nStrong technical breadth and judgment: able to partner effectively with engineering teams, drive clarity around requirements, and facilitate technical trade-offs without relying on coding depth;
\nExcellent cross-functional collaboration and executive communication: able to align teams with conflicting priorities, communicate clearly upward, and influence without direct authority;
\nExperience building durable mechanisms rather than just managing tasks: governance processes, planning systems, dashboards, review cadences, and decision frameworks that scale across teams.
\nWorkflow 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)
\nSafety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, and validation).
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