Technical Program Manager, ML​/AI Platform

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.

Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams. The Platform T/PgM Team is responsible for overall program governance in Infrastructure, Infra Finance, Data Engineering and Security, as well as Compliance and managing our cloud budget.

• As a Staff Technical Program Manager focusing on cross-engineering special projects, you will identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning.
• Lead Strategic ML/AI Platform Programs - Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest’s ML/AI Platform, GenAI infrastructure, and Agent Platform; owning outcomes from ambiguous opportunity through measurable execution.
• Operate with an AI-First Execution Mindset - Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows (e.g., intake triage, status synthesis, risk and dependency tracking, action/decision extraction), and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows - Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction - including dashboards, data analysis, process helpers, and internal tooling; using a "vibe coding" approach to move fast and validate value early.
• Apply Safety-by-Design AI Governance - Follow Pinterest’s AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams - Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions; sequencing risky elements to fail fast and reduce downstream program exposure.
• Translate Strategy into Execution - Convert strategic platform priorities into structured, milestone-driven execution plans; operating at both breadth (big picture vision) and depth (driving granular details with engineering teams) to ensure nothing falls through the cracks.
• Shape Planning & Influence Roadmaps - Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles; influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices - Define, institutionalize, and continuously improve program management processes, frameworks, and tooling; elevating organizational execution capability and enabling teams to…