AI-Powered TPM: Shopping Infra & Catalog

Pinterest

United States

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Pinterest's Shopping & Delivery Infrastructure team is seeking a Technical Program Manager to independently drive a portfolio of catalog and indexing programs, aligning owners, timelines and dependencies.

You'll run cross-team cadences, build dashboards, manage risk, and leverage GenAI to modernize workflows while prioritizing governance, safety-by-design, and data-driven decision making across ads, search and retail surfaces.

Qualifications

  • Bachelor’s degree or equivalent experience in a technical field.
  • 2–4 years of TPM experience driving technical programs to completion.
  • Solid understanding of distributed systems concepts and data workflows.

Responsibilities

  • Independently drive a well-defined portfolio of Shopping catalog and indexing programs, keeping owners, timelines, and dependencies on track.
  • Run day-to-day cadences such as standups, planning, and risk tracking to align priorities.
  • Build dashboards and reporting for progress, risk, and decisions across cross-functional teams.
  • Manage cross-team dependencies with partner teams across catalog, indexing, retrieval, serving, and ads quality.
  • Communicate clearly in writing and verbally to stakeholders.
  • Leverage GenAI to prototype AI-assisted workflows and synthesize signals for escalation.

Skills

Program management
Cross-functional leadership
Data analysis
AI governance
Distributed systems

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Flink
Kafka

Job description

Pinterest's Shopping & Delivery Infrastructure team is seeking a Technical Program Manager to independently drive a portfolio of catalog and indexing programs, aligning owners, timelines and dependencies.

You'll run cross-team cadences, build dashboards, manage risk, and leverage GenAI to modernize workflows while prioritizing governance, safety-by-design, and data-driven decision making across ads, search and retail surfaces.

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