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Staff Technical Program Manager

Pinterest
CompanyPinterest
CategoryEngineering
LocationSan Francisco
RemoteRemote
EmploymentNot stated
LevelMid
SalaryNot stated by the employer
Posted30 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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 . The Team: 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 Platforms TPM organization partners with Agent Foundations, Machine Learning Platform, Core Infra, Security, Ads Agent Infra, Data Product, and Data Science to operationalize Pinterest's Agent Platform — the shared registry, harness, evaluation, observability, AAA, memory, and MCP infrastructure that every AI agent at Pinterest is built on. What you'll do: As a Staff Technical Program Manager for Agent Platforms, you will drive the program that takes Pinterest's Agent Platform from MVP to a fully productized, self-serve platform — partnering with engineering, security, and product stakeholders to make it simple, safe, and fast for any team to ship an AI agent. Own execution of the Agent Platform roadmap across Agent Foundations, Discovery & Governance, Quality/Trust/Privacy, Token Entitlements, and Adoption & Operations. Translate strategic bets (Managed vs. Self-Managed platform design, harness standardization, cost governance) into sequenced execution plans, and be accountable for driving them to completion. Execute at both breadth and depth — at breadth by understanding the full platform surface area, and at depth by driving the nitty-gritty details with individual component owners. Be a thought partner to engineering leadership on platform architecture and roadmap decisions during quarterly and annual planning. Work cross-functionally with Engineering, Security, Data Science, and Product to turn ambiguous platform gaps (ownership, governance, enforcement) into actionable outcomes. Define and institutionalize the operating model for component ownership, on-call, and production-readiness review as the platform scales. Build effective, transparent communication channels to report platform status, risk, and adoption metrics to stakeholders at all levels, including executive leadership. Own the success of the Agent Platform program, ensuring delivery of measurable outcomes (Platform Adoption, Time-to-Value, Developer NPS) through rigorous planning, execution, and accountability. Mentor others and elevate organizational impact by creating and institutionalizing best practices, tools, and methodologies for AI platform program management. What we're looking for: 5+ years of experience as a technical program manager, or related experience. Track record of leading and delivering complex, multi-year initiatives that span multiple teams. Strong understanding of, or demonstrated ability to quickly ramp on, modern AI/agent infrastructure — LLM serving, agent harnesses, evals, observability, and MCP. Entrepreneurial s
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