Staff Technical Program Manager

Pinterest•San Francisco, CA

6d•$145,747 - $300,067•Remote

About The Position

Pinterest is seeking a highly technical, experienced Staff Technical Program Manager to join its Advanced Technology Group (ATG), a research-driven engineering organization advancing Pinterest’s ML/AI capabilities. The role partners with senior product and engineering leaders to turn AI strategy into shipped, reliable, widely adopted capabilities, spanning research, ML platform, infrastructure, safety, and product teams. Pinterest Technical Program Managers deliver critical and strategic outcomes by directing and scaling engineering effort across organizational and functional boundaries. The position leads complex programs from research through production, aligns workstreams under shared roadmaps and metrics, establishes scalable operating mechanisms, and helps leaders make informed technical and organizational decisions. It also uses AI tools to automate program tracking, reporting, and insights. The role may be situated anywhere in the United States and requires in-office collaboration 1–2 times per quarter. It is not eligible for relocation assistance. The position offers a base salary range of $145,747–$300,067 USD and is also eligible for equity.

Requirements

At least 8 years of experience in technical program management, engineering, or related roles.
Track record of leading organization-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, including training and post-training, evaluation, model serving, GPU capacity, release management, and platform engineering; ability to read design documents and challenge assumptions.
Ability to partner with VP- and Director-level Product and Engineering leaders and influence strategy and prioritization.
Experience designing planning processes and governance, including annual and multi-half planning across several organizations.
Strong analytical skills, including SQL, dashboards, and using data from experiments and evaluations to drive decisions.
Comfort working amid high ambiguity, rapidly changing technology, and cross-functional collaboration with Legal, Privacy, and Safety partners.
Exceptional written and verbal communication skills, including explaining nuanced technical concepts to executive audiences.
Demonstrated ability to build and scale processes and use AI tools to automate program management.

Nice To Haves

Experience with LLM or multimodal model adoption, such as adapting open-source models, using evaluation frameworks, and migrating workloads between model providers.

Responsibilities

Lead complex, multi-workstream programs across ML research, platform engineering, infrastructure, safety/compliance, and product, aligning teams under a shared roadmap, metrics, and governance.
Partner with Product and Engineering VPs to translate strategy into workstreams, staffing, milestones, and clear decision-making.
Drive programs from research to production, including model development, evaluation, release management, serving capacity, and adoption by product teams.
Define and track quality, cost, reliability, adoption, and cycle-time metrics and guardrails, using them to drive decisions.
Run technical design and decision forums; identify risks and tradeoffs early and align senior leaders on a path forward.
Build scalable operating mechanisms for planning, reviews, intake, launch readiness, and post-mortems 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.