Director, Technical Program Management-Monetization
HybridSan Francisco, California, United States
Job Summary
Director, Technical Program Management for Ads Quality & Measurement leads cross-org, company-level programs across Ads Quality & Measurement, including Ads Ranking, Match Quality, Whole Page Relevance, measurement systems and platform investments. Sets strategy and vision for the TPM function; translates advertiser performance, Pinner relevance and marketplace quality goals into measurable roadmaps and execution plans. Drives alignment across Product, Engineering, Data Science, Design, and Go-to-Market to deliver complex programs that improve advertiser value while maintaining high-quality experiences for Pinners. Owns the metrics framework for the portfolio, connects performance and experimentation to a clear source of truth, and embeds AI to accelerate planning and workflows while safeguarding privacy and correctness. Develops a high-performing AI-first TPM team through coaching and ongoing learning. This role is based in the US with in-person collaboration 1-2 times per quarter and is not eligible for relocation assistance.
Required Qualifications
- Minimum of 10 years of experience in technical program management or related experience leading multiple company-level programs that impact business-critical objectives.
- Minimum of 2 years of people management experience, including experience leading senior TPMs, managers or senior ICs through complex, cross-functional technical work.
- Experience leading large-scale programs in ads, marketplace systems, machine learning, AI, ranking, recommendation systems, experimentation, measurement, data platforms or similarly complex technical domains.
- Experience setting strategy for a technical function, translating ambiguous business opportunities into clear priorities, measurable outcomes, operating mechanisms and durable execution plans.
- Experience building accountability systems across teams, including metric frameworks, roadmap tracking, launch governance, dependency management and executive-level reporting.
- Strong technical judgment and communication skills, with experience influencing senior leaders, aligning multiple organizations and making thoughtful trade-offs on behalf of the business.
- Demonstrated experience using AI to improve speed and quality in day-to-day work, with a clear approach to validating accuracy, protecting sensitive data and remaining accountable for final decisions and deliverables.
- Bachelor’s degree in a relevant field such as Computer Science, Engineering, Data Science, Mathematics, Business or equivalent experience.
- BS in Engineering or CS or equivalent work experience.
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