Sr. Technical Program Manager, Ads Delivery Infrastructure

Pinterest•San Francisco, CA

10h•$123,684 - $254,644•Remote

About The Position

Pinterest's Ads Delivery Infrastructure team builds and operates the real-time serving, indexing, retrieval, and budgeting systems that power Shopping and Ads at Pinterest. We're in the middle of a significant modernization effort: unifying our catalog and index platforms to scale to billions of items, moving core services onto our next-generation compute platform, and re-architecting our budgeting systems for real-time accuracy. We work closely with engineering, product, and monetization teams to keep Pinterest's advertising systems fast, reliable, and ready to scale. 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.

Requirements

5+ years of TPM/Product Ownership experience leading complex, cross-functional technical programs, ideally within large-scale distributed systems, search/retrieval, or ads/monetization infrastructure.
Solid understanding of the principles behind large-scale serving, indexing, or retrieval systems, and the tradeoffs involved in scaling them.
Excellent analytical and problem-solving skills, with experience building dashboards, interpreting data, and using insights to drive decisions.
Strong collaboration and communication skills, with a track record of partnering with senior engineering and business stakeholders in high-visibility settings.
Comfort with ambiguity and shifting priorities across a fast-moving, multi-workstream roadmap.
Experience with ads, monetization, or data infrastructure is a plus; willingness to learn and grow across domains is essential.
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 Computer Science, Engineering, a related field or equivalent experience.

Responsibilities

Lead or support programs that scale Pinterest's Shopping and Ads catalog, indexing, and retrieval systems to handle billions of items, partnering with engineering leads across catalog, search infrastructure, and retrieval.
Drive cross-team execution on infrastructure modernization initiatives, including migrations to next-generation compute and storage platforms, managing timeline, dependency, and risk across service owners.
Build and maintain program dashboards and reporting that give engineering and business stakeholders a clear, current view of progress, risk, and decisions.
Partner with engineering on reliability and incident-response initiatives for revenue-critical serving systems.
Communicate technical tradeoffs and program status clearly to both technical and non-technical audiences, from individual engineers to senior leadership.
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 & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
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”).
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.