Staff Technical Program Manager, Monetization Data Science

Pinterest

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$145,747–$300,067 / yr
Posted
16 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $174k
This role $223k
$106k most similar roles pay here $321k

This role pays more than 77% of similar roles. Most pay $126,800–$222,000 — the shaded band above. At the midpoint, this role pays about $223k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 55 open roles on FindRole.

Listed pay typically runs $158,765–$320,320 across 55 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Technical Program Manager, Monetization Data Science

As a Staff TPM in Pinterest’s Monetization Data Science team, you will lead the execution roadmap for data-driven monetization initiatives, coordinating with Product, Engineering, Design, Sales, and other teams to unify fragmented data into a single source of truth and build an end-to-end input metrics funnel. Your day-to-day involves productionalizing core tables, enabling new instrumentation, driving workflow automation, scaling self-serve analytics tools, and operationalizing input metrics through AI-assisted workflows. You will need deep expertise in data platforms, metrics judgment, and cross-functional leadership to create durable operating systems that reduce manual intervention and increase team velocity. Additionally, you must be fluent in using generative AI for planning, program operations, and decision-making while adhering to Pinterest’s AI governance guidelines for risk management and safety-by-design.

What you'll do

  • Lead the execution roadmap for Monetization Data Science across four strategic pillars.
  • Coordinate with Platforms/Data Eng and Monetization Eng to productionalize core tables and governance.
  • Enable new instrumentation by closing observability gaps in delivery funnel analysis.
  • Drive workflow automation to reduce manual intervention and build monitoring mechanisms.
  • Scale self-service tooling for democratized analytics, supporting fast diagnostics and opportunity mining.
  • Operationalize input metrics by establishing business review cadences for controllable outcomes.
  • Use GenAI to produce AI-assisted first drafts of core program artifacts and modernize workflows.

What we're looking for

  • Proven ability to independently own multi-quarter technical programs.
  • Deep cross-functional leadership with Product and Engineering teams.
  • Experience building trusted data metrics and operational cadences.
  • Track record of creating durable operating systems to reduce toil.
  • Excellent risk management and dependency tracking skills.
  • Demonstrated ability to use GenAI for program operations acceleration.
  • Fluency in AI governance, ensuring safety-by-design practices.

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