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Staff Technical Program Manager

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Remote

Staff Technical Program Manager

Pinterest

Staff Technical Program Manager

Skills

Data ScienceMachine LearningAI

3 months ago

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Important information


Salary:

$145,747 – $300,067 / year

Location:

United States

Work mode:

Remote

Published on:

11 August 2026

What they need


Who you are

  • 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 spirit with strong leadership to identify and champion new initiatives, thriving in ambiguity and building programs from the ground up
  • Exceptional analytical, problem-solving, and decision-making skills; ability to mitigate risk through innovative approaches
  • Track record of successfully influencing executive leadership and representing program interests at the highest levels
  • Ability to drive strategic vision by analyzing organizational context, anticipating future scenarios, and shaping program roadmaps aligned with company-level strategy and OKRs
  • Demonstrated experience creating and driving efficient, scalable processes and best practices that enable organizational agility and operational excellence at scale
  • Excellent written, verbal, and interpersonal communication skills to influence, build consensus, and collaborate with diverse teams
  • Foster an inclusive environment by valuing diverse perspectives, maintaining composure in adversity, and modeling courageous, resilient leadership
  • B.S Degree in a technical field or equivalent work experience

What the job involves

  • 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
  • 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

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