Staff Technical Program Manager, Monetization Data Science

Role

Staff Technical Program Manager (TPM) for Monetization Data Science at Pinterest. You will lead multi-team technical programs to build a data-driven monetization engine: unify fragmented data into a trusted single source of truth (SSOT), create an input-metrics funnel, enable advanced segmentation, and democratize analytics across Monetization.

Key Responsibilities

• Lead the Monetization DS execution roadmap across four strategic pillars (SSOT + funnel, segmentation, input-metrics cadence, democratized analytics) with milestones and success measures.
• Productionalize DS strategy by coordinating Platforms/Data Engineering, Monetization Engineering, and Data Science to build core tables, governance, reliability, and scale pipelines beyond DS-owned code.
• Partner with Engineering to enable instrumentation and observability (especially delivery/funnel instrumentation) so full-funnel survivability can be analyzed reliably.
• Drive workflow automation to reduce manual intervention, implementing monitoring, alerting, and dependency tracking for recurring data workflows and program operations.
• Scale self-serve analytics and deliver partner-facing tooling (dashboards, analytics surfaces) for fast diagnostics and opportunity discovery.
• Operationalize input metrics and establish business review cadences focused on leading indicators and accountable goals.
• Structure and execute targeted deep dives with clear hypotheses, decision asks, and downstream action plans.
• Use GenAI as the default operating model for program execution: produce AI-assisted artifacts, modernize high-toil workflows, synthesize signals to surface risks and decisions, and prototype data/automation solutions using AI coding assistants (vibe coding).
• Follow AI risk, governance, and safety-by-design practices when handling sensitive data and validating AI-generated outputs.

Requirements

• Staff-level TPM experience owning multi-team, multi-quarter technical programs and delivering outcomes through influence.
• Strong cross-functional leadership partnering with Product and Engineering and aligning Design, Sales, PMM, Core, Platforms, and Data.
• Experience building trusted metrics/SSOT and operational cadences that shift behavior toward leading indicators and fast diagnosis.
• Track record of building durable operating systems (cadence, dashboards, decision logs, RACI/DRIs) that reduce toil and increase velocity.
• Excellent risk and dependency management and clear stakeholder communications.
• Demonstrated AI-first execution mindset: using GenAI to accelerate planning, operations, and stakeholder communications while applying judgment to validate and refine outputs.
• Experience designing workflows, automation, and lightweight tooling (including using AI assistants / vibe coding) to improve decision-making and reduce toil.
• Familiarity with AI governance practices: risk assessment, data handling, model/output validation, and auditability.
• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.

Location & Work Model

• This role can be situated anywhere in the country and requires in-person collaboration 1–2 times every 6 months. The position is not eligible for relocation assistance.

Team Context

• Role sits in Monetization within EPD and partners closely with Product, Engineering, Design, Sales, PMM, Core, Platforms, and Data to drive a unified, data-driven monetization approach.