Staff Technical Program Manager

San Francisco, CA · Remote · San Francisco · USD 145,747-300,067 · Remote · Posted Oct 19, 2026

At a glance

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.
Staff Technical Program Manager, Advanced Technology Group
Pinterest Technical Program Managers deliver critical and strategic outcomes by directing and scaling engineering effort across organizational and functional boundaries.

Pinterest is looking for a highly technical, experienced Staff TPM to join the Advanced Technology Group (ATG), a research-driven engineering organization advancing Pinterest's ML/AI capabilities.
You'll partner directly with senior product and engineering leaders to turn ambitious AI strategy into shipped, reliable, and widely adopted capabilities.
This is a high-visibility role spanning research, ML platform, infrastructure, safety, and product teams.

Lead complex, multi-workstream programs across ML research, platform engineering, infrastructure, safety/compliance, and product, aligned under one roadmap, metrics, and governance.
Partner closely with the VPs of Product and Engineering to translate strategy into workstreams, staffing, milestones, and clear decision-making.
Drive the path from research to production: model development, evaluation, release management, serving capacity, and adoption by product teams.
Define and track metrics and guardrails (quality, cost, reliability, adoption, cycle time) and use them to drive decisions.
Run technical design and decision forums; identify risks and tradeoffs early and align senior leaders on a path forward.
Build operating mechanisms (planning, reviews, intake, launch readiness, post-mortems) that scale across teams working at different paces.
Use AI tooling to automate tracking, reporting, and program insights.
Communicate status, risks, and decisions to executives and cross-functional partners, tailoring technical depth to the audience.

Minimum 8 years in technical program management, engineering, or related roles, with a track record of leading org-level, multi-team ML/AI or platform programs.
Bachelor's degree in a technical field or equivalent practical experience.
Deep technical understanding of ML/AI systems (training and post-training, evaluation, model serving, GPU capacity, release management) and platform engineering.
Proven ability to partner with VP and Director-level leaders in Product and Engineering and influence strategy and prioritization.
Experience designing planning processes and governance (annual and multi-half planning) across several organizations.
Strong analytical skills: SQL, dashboards, and using data from experiments and evaluations to drive decisions.
Comfort with high ambiguity, rapidly changing technology, and cross-functional work with Legal, Privacy, and Safety partners.
Exceptional written and verbal communication, including nuanced technical concepts for executive audiences.
Demonstrated ability to build and scale processes, and to use AI tools to automate program management.

Experience with LLM/multimodal model adoption, such as adapting open-source models, evaluation frameworks, and migrating workloads between model providers, is a strong plus.

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.