Manager II, Technical Program Management - Platforms

Confirmed live in the last 24 hours

Compensation

$145,747 - $300,067/year

San Francisco, CA, US; Remote, US

Remote

Posted March 30, 2026

Job Description

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, we’re 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 other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll 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.

Pinterest’s Platforms TPM team helps the company build a future-proof, scalable, and efficient technology ecosystem by turning platform strategy into clear, executable cross-team programs. We partner closely with engineering leadership across Quality Engineering, Client Foundations, Ads Foundations, and Core Infrastructure to drive modernization, improve reliability and software quality, and accelerate delivery across Pinterest’s most important technical foundations.

What you’ll do:

Use GenAI as the default operating model for EP PgM execution—producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows into AI-first mechanisms (e.g., intake triage, status synthesis, action/decision extraction, risk & dependency tracking), and synthesizing signals to proactively surface risks, decision/trade-offs, and escalation paths.
Prototype solutions to augment decisions through data (e.g. dashboards, data analysis) or simplify processes (e.g. process and workflow helpers, or internal tools) using AI coding assistants (“vibe coding”).
Follow Pinterest AI guidance for risk, governance, and safety-by-design: appropriately handle sensitive data, validate AI-generated outputs, document assumptions/limits, and ensure AI-assisted workflows meet applicable policy/compliance expectations before broad adoption.
Lead a portfolio of complex, cross-functional technical programs across Quality Engineering, Client Foundations, and Ads & Core Infrastructure.
Partner with engineering leaders to define program outcomes, establish execution plans, manage dependencies and risks, and drive delivery against multi-quarter goals.
Build and run an integrated operating cadence across the portfolio, including roadmap planning, milestones, decision forums, status updates, and escalation paths.
Drive programs that improve software quality, engineering hygiene, release confidence, reliability, and developer productivity across foundational platform investments. This includes areas such as code coverage, bug and incident SLAs, release quality, and platform modernization.
Lead technical program management for client foundations modernization across iOS, Android, and Web, helping improve testability, maintainability, developer workflows, and safe release practices.
Drive foundational programs across Ads and Core Infrastructure, including modernization, reliability improvements, platform simplification, and better execution across shared infrastructure and APIs. The related portfolio includes initiatives such as search/discovery infrastructure modernization, ingestion and catalog unification, media pipelines, and developer productivity improvements.
Manage and develop a small TPM team while remaining hands-on with the most strategic or highest-risk programs.
Bachelor’s degree in Computer Science, Engineering, a related field or equivalent experience.