Director, Technical Program Management Monetization
Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $192,929–$397,206 / yr
- Posted
- 7 days ago
- Freshness
- Confirmed live 2 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 97% of similar roles. Most pay $174,950–$232,187 — the shaded band above. At the midpoint, this role pays about $295k versus about $204k 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 82 open roles on FindRole.
Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.
Most-posted roles
- Software Engineer 18
- Machine Learning Engineer 11
- Data Scientist 8
- Technical Program Manager 6
- Product Manager 5
At a glance
TL;DR · Director, Technical Program Management Monetization
As the Director, Technical Program Management-Monetization, you will join the Ads Quality & Measurement team to lead a critical function within the Monetization organization. You will manage a team of senior technical program managers and individual contributors responsible for cross-org programs involving ads ranking, match quality, measurement systems, and platform investments. Your role involves defining the strategy, operating model, and metrics framework for a portfolio that supports advertiser performance and user relevance. You will drive alignment across Product, Engineering, Data Science, Design, and Go-to-Market teams while managing dependencies and executive communications. The work focuses on solving complex problems in ads systems, machine learning, ranking, recommendation systems, and data platforms. You must demonstrate expertise in using AI to accelerate workflows while ensuring quality and accuracy within these high-stakes technical domains.
Skills
What you'll do
- Lead a team of senior TPMs and individual contributors managing cross-functional programs for ads ranking, match quality, and measurement systems.
- Define the strategy and vision for the Ads Quality & Measurement TPM function to align advertiser performance with Pinner relevance goals.
- Drive alignment across Product, Engineering, Data Science, and Design teams to deliver complex technical programs.
- Establish a metrics and accountability framework to track performance, experimentation results, and delivery signals.
- Manage high-stakes projects by creating decision frameworks, identifying trade-offs, and managing dependencies for executive leadership.
- Oversee the organizational operating cadence, including resource planning, launch readiness, risk management, and executive communications.
- Integrate AI tools into team workflows to accelerate synthesis, reporting, and program execution while ensuring data privacy.
- Develop a high-performing, AI-first TPM team through coaching, succession planning, and continuous professional development.
What we're looking for
- Minimum of 10 years of experience in technical program management or leading multiple company-level programs for business-critical objectives.
- Minimum of 2 years of people management experience, including leading senior TPMs, managers, or senior ICs.
- Experience leading large-scale programs in ads, marketplace systems, machine learning, AI, ranking, recommendation systems, experimentation, measurement, or data platforms.
- Experience setting strategy for a technical function and translating ambiguous business opportunities into measurable outcomes and execution plans.
- Experience building accountability systems including metric frameworks, roadmap tracking, launch governance, and executive-level reporting.
- Strong technical judgment and communication skills to influence senior leaders and align multiple organizations.
- Demonstrated experience using AI to improve work speed and quality while ensuring data privacy and accuracy.
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, Data Science, Mathematics, Business, or equivalent experience.
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