P
Senior Technical Program Manager (Ads Delivery Infrastructure)
Skills
Data AnalysisAICompliance
6 days ago
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Important information
Contract type:
Permanent
Salary:
$123,684 – $254,644 / year
Location:
San Francisco, CA, USA
Work mode:
Onsite
Published on:
15 October 2026
What they need
- Pinterest’s Ads Delivery Infrastructure team builds and operates the real-time serving, indexing, retrieval, and budgeting systems that power Shopping and Ads at Pinterest. We’re in the middle of a significant modernization effort: unifying our catalog and index platforms to scale to billions of items, moving core services onto our next-generation compute platform, and re-architecting our budgeting systems for real-time accuracy. We work closely with engineering, product, and monetization teams to keep Pinterest’s advertising systems fast, reliable, and ready to scale
- Lead or support programs that scale Pinterest’s Shopping and Ads catalog, indexing, and retrieval systems to handle billions of items, partnering with engineering leads across catalog, search infrastructure, and retrieval
- Drive cross-team execution on infrastructure modernization initiatives, including migrations to next-generation compute and storage platforms, managing timeline, dependency, and risk across service owners
- Build and maintain program dashboards and reporting that give engineering and business stakeholders a clear, current view of progress, risk, and decisions
- Partner with engineering on reliability and incident-response initiatives for revenue-critical serving systems
- Communicate technical tradeoffs and program status clearly to both technical and non-technical audiences, from individual engineers to senior leadership
- Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths
- Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”)
- Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption- Excellent analytical and problem-solving skills, with experience building dashboards, interpreting data, and using insights to drive decisions
- Safety-by-design AI fluency: experience operating within AI governance expectations (risk assessment, data handling, model/output validation, auditability/traceability) and proactively identifying where AI use is not appropriate or requires additional controls
- Solid understanding of the principles behind large-scale serving, indexing, or retrieval systems, and the tradeoffs involved in scaling them
- Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience
- Strong collaboration and communication skills, with a track record of partnering with senior engineering and business stakeholders in high-visibility settings
- Comfort with ambiguity and shifting priorities across a fast-moving, multi-workstream roadmap
- Experience with ads, monetization, or data infrastructure is a plus; willingness to learn and grow across domains is essential
- 5+ years of TPM/Product Ownership experience leading complex, cross-functional technical programs, ideally within large-scale distributed systems, search/retrieval, or ads/monetization infrastructure
- Workflow design, AI fluency, data & insights orientation: experience turning repeatable program work into durable, low-toil mechanisms and improving decision-making by using GenAI (e.g., strong prompting, vibe coding lightweight scripts/tools, dashboards, data analysis and leveraging agents where appropriate)
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