Manager II, Technical Program Management - Ads & Core Infrastructure

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 product.

Discover 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. Creating a career you love? It’s Possible.

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.

Why Pinterest, Why Now

Pinterest is making a serious bet on performance advertising and delivering on that bet requires ads infrastructure operating at a fundamentally different scale than where it is today. The Platforms TPM team partners with engineering leadership across Ads Infrastructure, Core Foundations, Quality Engineering, and Client Platforms to turn platform strategy into clear, executable programs that ship.

This role exists because Pinterest's Ads & Core Infrastructure portfolio: Shopping index scale-out, next-gen indexing pipelines, catalog unification, and API modernization needs a TPM Leader who has done this before. Someone who can walk in, size up a complex portfolio, build the execution system it needs, and drive delivery with the kind of discipline that makes engineering leaders trust you with their hardest problems. If you've built your career in ads infrastructure or platform-scale data systems and you're ready to own the operating model rather than inherit one, this is that role.

What you’ll do:

• Own end-to-end TPM execution for Pinterest's Ads & Core Infrastructure portfolio: the primary focus of this role including Shopping index scale-out (300M → 1B+ items), next-generation indexing pipelines, catalog and ingestion unification, API modernization, and core infrastructure reliability programs.
• Build the execution operating model for this portfolio from the ground up: milestones, RAID discipline, decision forums, escalation paths, and accountability structures that give engineering teams the clarity to move faster.
• Partner with engineering leaders across Ads Infrastructure and Core Foundations to define program outcomes, sequence workstreams, manage cross-team dependencies, and drive delivery against multi-quarter goals.
• Manage and develop a small team of TPMs across Ads & Core Infra, Quality Engineering, and Client Foundations: setting direction, coaching on execution craft, and creating leverage while staying hands-on with the highest-complexity programs yourself.
• Provide senior leadership coverage and strategic judgment for Quality Engineering and Client Foundations programs, where experienced TPMs are already executing day-to-day.
• Build and run integrated operating cadences across the portfolio: roadmap planning, milestone reviews, dependency tracking, status reporting, and escalation paths to Platforms and EPD leadership.
• Use GenAI as the default operating model for program execution: AI-assisted program artifacts, status synthesis, risk and dependency tracking, and stakeholder communications and prototype lightweight dashboards or workflow tools using AI coding assistants to reduce toil across the portfolio.
• Surface risks, tradeoffs, and escalation paths proactively to senior engineering and EPD leadership: before they become incidents.
• Apply Pinterest's AI governance and safety-by-design standards: handle sensitive data appropriately, validate AI-generated outputs, and ensure AI-assisted workflows meet applicable policy and compliance expectations.

What we’re looking for: