Senior Director of Technical Program Management, Monetization

Role

As Senior Director of Technical Program Management, Monetization at Pinterest, you will lead execution of a multi-year monetization strategy to scale demand and improve ad relevance and performance. You will drive strategic alignment across Product, Engineering, Sales, PMM, Data Science, and Design, and build and coach a high-performing TPM organization to deliver business-critical outcomes.

Key Responsibilities

• Own and drive execution of a 3-year monetization strategy to scale demand and improve ad relevance and performance for users and advertisers.
• Create strategic alignment and an operating rhythm across cross-functional partners, including sequencing, dependency management, and shared accountability.
• Partner with Ads leadership, PMM, and Sales GTM to expand and adapt monetization strategy for international markets and ensure global product-market fit.
• Lead the Monetization TPM team to deliver full-funnel performance capabilities, platform integrations, industry-compatible interfaces, and AI-first tooling.
• Set and track KPIs/OKRs tied to business outcomes (e.g., ROAS, revenue) and institutionalize scalable experimentation practices.
• Remove ambiguity and unblock delivery across multiple parallel, high-priority initiatives; communicate progress, risks, and tradeoffs with executive stakeholders.
• Build, coach, and retain a high-performing TPM org; standardize and elevate TPM craft and best practices across Monetization.
• Use GenAI as the default operating model for program execution—produce AI-assisted drafts of core artifacts, modernize high-toil workflows into AI-first mechanisms (intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesize signals to surface risks and escalation paths.
• Prototype AI-augmented solutions (dashboards, data analysis, process helpers, internal tools) and apply “vibe coding” to create lightweight scripts and tools that simplify program work.
• Follow AI risk, governance, and safety-by-design guidance: handle sensitive data appropriately, validate AI outputs, document assumptions, and ensure compliance before broad adoption.

Requirements

• Proven strategic leadership and vision with the ability to define and drive long-range, cross-functional strategies and translate them into executable programs with measurable outcomes.
• Expertise leading complex, large-scale, multi-quarter initiatives across highly matrixed organizations spanning engineering, product, and go-to-market partners.
• Demonstrated people leadership and org-building experience, including managing managers and coaching leaders to build accountable, inclusive teams.
• Strong technical acumen with the ability to engage on architectural tradeoffs and execution across APIs, data, and AI systems.
• Familiarity with monetization and ad tech ecosystems and performance marketing (preferred).
• Strong executive communication and influence skills, with experience aligning senior stakeholders through ambiguity and change.
• Metrics and experimentation orientation; experience setting and tracking KPIs/OKRs tied to business outcomes.
• AI-first execution mindset and fluency using GenAI and AI-assisted tools to accelerate planning, program operations, and stakeholder communications.
• Experience in workflow design, prompt engineering, lightweight tooling/vibe coding, dashboards, data analysis, and appropriate use of agents where applicable.
• Practical experience operating within AI governance frameworks (risk assessment, data handling, model/output validation, auditability/traceability).

Location & Work Model

This role is remote-first within the country and requires in-person collaboration 1-2 times per quarter. The position is not eligible for relocation assistance.