Sr. Technical Program Manager, Personalization

What you’ll do

• Own a portfolio of personalization programs spanning recommendation platforms, ranking and optimization strategies, and new anticipatory experiences (e.g., unified landing pages, intelligent/AI-generated boards) with clear goals, milestones, and success metrics.
• Drive cross-surface execution so personalization improvements scale efficiently across multiple experiences (Homefeed, Explore, SEO landing pages, board and shopping surfaces), working closely with product and engineering owners.
• Partner with Relevance and Data Science to ensure ranking and modeling work prioritizes long-term value and revisitation, and that experiment learnings systematically inform future roadmap and investment decisions.
• Design and run the operating model for personalization—creating cadences, dashboards, and decision forums that give leaders and teams a clear view of program health, risks, dependencies, and tradeoffs.
• Align stakeholders across Relevance/ML, product surfaces, infra, curation, and growth when there are competing priorities or ambiguous ownership, and drive crisp, data-backed decisions.
• Communicate complex work simply, turning technical modeling and platform efforts into clear narratives about impact on Pinners and on the business.
• Use GenAI as a default PgM tool—starting from AI-assisted drafts for core artifacts and redesigning high-toil PgM workflows into AI-first mechanisms.
• Prototype lightweight AI-assisted helpers (scripts, dashboards, workflow tools) with AI coding assistants while adhering to Pinterest’s AI governance and safety-by-design expectations.

What we’re looking for

• 5+ years of experience as a Technical Program Manager driving complex, cross-functional technical programs.
• Experience working with personalization, recommendations, relevance, or similar ML/AI-driven systems in consumer products (feeds, search, ranking, discovery).
• Ability to take ambiguous personalization problem spaces and turn them into clear, actionable roadmaps and execution plans.
• Strong program management fundamentals: highly organized, comfortable managing multiple complex workstreams, skilled at building governance, planning, and communication structures.
• Data-driven decision-maker comfortable partnering with Data Science on experiment design, interpreting results, and using metrics (engagement, retention, revisitation, latency) to guide priorities.
• Excellent written and verbal communication skills with a track record of explaining nuanced, technical topics to both technical and non-technical stakeholders, including senior leadership.
• Proven ability to influence and align cross-functional partners in situations with competing priorities or unclear ownership.
• Experience creating or evolving processes and playbooks that improve how teams plan, execute, and review personalization work at scale.
• AI-first execution mindset and workflow design fluency—comfortable using GenAI to accelerate TPM work, “vibe-coding” small helpers with AI coding assistants, and operating within AI governance expectations.
• Bachelor’s degree in computer science, computer and information technology, or equivalent experience.