Staff 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 produ
What this role actually needs.
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 produ Responsibilities: - 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. Requirements: - Experienced Technical Program Manager — 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent. With a proven track record of leading and delivering complex, multi-year initiatives spanning multiple engineering teams and organizations. - AI-First Execution Mindset — Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication; starting from AI-generated drafts and applying strong judgment to validate, refine, and drive decisions rather than defaulting to manual, high-toil approaches. - Workflow Design & AI Fluency — Experience turning repeatable program work into durable, low-toil mechanisms; including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput. - Safety-by-Design AI Governance — Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability, and proactively identifying where AI use is not appropriate or requires additional controls. - ML/AI & Systems Domain Knowledge — Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles; sufficient to engage credibly with technical teams, drive meaningful tradeoffs, and identify cross-system risks. - Strategic Vision & Entrepreneurial Leadership — Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs, with an entrepreneurial spirit that thrives in ambiguity and builds programs from the ground up. Company context: Pinterest is the visual discovery platform that powers idea search and shopping across web and mobile.
Day-to-day expectations
Pinterest lists these responsibilities for the Staff Technical Program Manager, ML/AI Platform role.
- 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.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Experienced Technical Program Manager — 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent. With a proven track record of leading and delivering complex, multi-year initiatives spanning multiple engineering teams and organizations.
- AI-First Execution Mindset — Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication; starting from AI-generated drafts and applying strong judgment to validate, refine, and drive decisions rather than defaulting to manual, high-toil approaches.
- Workflow Design & AI Fluency — Experience turning repeatable program work into durable, low-toil mechanisms; including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
- Safety-by-Design AI Governance — Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability, and proactively identifying where AI use is not appropriate or requires additional controls.
- ML/AI & Systems Domain Knowledge — Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles; sufficient to engage credibly with technical teams, drive meaningful tradeoffs, and identify cross-system risks.
- Strategic Vision & Entrepreneurial Leadership — Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs, with an entrepreneurial spirit that thrives in ambiguity and builds programs from the ground up.
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Source: pinterestcareers.com · Source ID: 7766478 · Confidence: 90/100 · Last checked: May 7, 2026
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