Sr. Technical Program Manager, Personalization

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Team

Pinterest Technical Program Managers are proactive owners with deep program craft and enough technical fluency to be trusted partners to Product Engineering and Data Science.

As a Personalization TPM youll sit at the heart of our Experience & Personalization (P13N) organization working across Relevance/ML product surfaces (Homefeed Explore Boards Shopping) and platform teams. Your mandate is to make Pinterest feel uniquely tailored to every Pinner by driving the programs that power our personalization systems and experiences.

What youll do:

As the Senior Technical Program Manager Personalization you will:

• Own a portfolio of personalization programs that span 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 that personalization improvements can scale efficiently across multiple experiences (e.g. Homefeed Explore SEO landing pages board and shopping surfaces) working closely with product and engineering owners in each area.
• Partner with Relevance and Data Science to ensure our ranking and modeling work prioritizes long-term value and revisitation (not just short-term clicks) and that experiment learnings systematically inform future roadmap and investment decisions.
• Design and run the operating model for personalizationcreating cadences dashboards and decision forums that give leaders and teams a clear view of program health risks dependencies and tradeoffs across the personalization portfolio.
• Align stakeholders across organizations (Relevance/ML product surfaces infra curation growth) when there are competing priorities or ambiguous ownership and drive crisp data-backed decisions that keep the personalization roadmap moving.
• Communicate complex work simply turning deeply technical modeling and platform efforts into clear narratives about impact on Pinners (discovery quality relevance anticipatory experiences) and on the business (engagement retention revisitation).
• Use GenAI as a default PgM toolstarting from AI-assisted drafts for core artifacts (charters plans status decision memos) and redesigning high-toil PgM workflows (status synthesis RAID tracking intake triage) into AI-first mechanisms where its safe and effective to do so.
• Prototype lightweight AI-assisted helpers (e.g. scripts dashboards workflow tools) with AI coding assistants to make it easier to understand personalization experiments surface-level performance and program healthwhile adhering to Pinterests AI governance and safety-by-design expectations.
  
  

What were looking for

• 5 years of experience as a Technical Program Manager (or similar role) driving complex cross-functional technical programs.
• Experience working with personalization recommendations relevance or similar ML/AI-driven systems in consumer products (e.g. feeds search ranking discovery).
• Demonstrated ability to take ambiguous personalization problem spaces (e.g. make the experience more anticipatory optimize for long-term value) and turn them into clear actionable roadmaps and execution plans.
• Strong program management fundamentals: you are highly organized comfortable managing multiple complex workstreams and skilled at building governance planning and communication structures that scale.
• Data-driven decision-maker who is comfortable partnering with Data Science on experiment design interpreting results and using metrics (engagement retention revisitation latency) to guide priorities and tradeoffs.
• 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 especially across product surfaces and platform/ML teams.
• 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 fluencycomfortable using GenAI to accelerate TPM work vibe-coding small helpers with AI coding assistants and operating within AI governance and safety-by-design expectations.
• Bachelors degree in a relevant field such as computer science computer and information technology or equivalent experience.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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