Drimva

Plaid

Staff Product Manager - AI & Data Foundations

$208K–$340K

San Francisco HQ +1 · Hybrid · Staff · Full-time · Posted Sep 29, 2026

Location
San Francisco HQ
New York City Office
Experience
8+ years of product management experience, including direct experience building AI/ML platform systems, applied intelligence products, or data infrastructure from concept to production.

About the job

Builds shared AI and data platforms, infrastructure, and developer tools that Plaid teams use to develop and scale AI and data capabilities.

What you'll do

  • Set the strategy, roadmap, and success metrics for shared AI and data platforms.
  • Partner with data, ML, and platform engineers to build foundational infrastructure, tooling, pipelines, and governance.
  • Improve internal developer experience and adoption; align teams on platform priorities and trade-offs.

What they ask for

  • 8+ years of product management experience, including direct experience taking AI/ML platform systems, applied intelligence products, or data infrastructure from concept to production.
  • Deep technical fluency in modern data and AI/ML systems, including data processing and model development, evaluation, deployment, and monitoring.
  • Experience building scalable developer or data platforms using primitives, APIs, and frameworks.
  • Strong communication and cross-functional leadership; able to translate technical concepts for technical and non-technical stakeholders.

Nice to have

  • Hands-on production experience with LLMs, embeddings, or agentic systems.
  • Experience building AI developer tooling in production.

Pay

$207.6K – $339.6K USD base salary

Tools

LLMs, embeddings, agentic systems, Databricks

AI focus

Build shared AI infrastructure and platforms, including an LLM gateway, evaluation infrastructure, AI-powered data tooling, and AI developer capabilities; support responsible AI and transparency.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)