Staff Product Manager - AI & Data Foundations

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. As a Product Manager on the AI & Data Foundations team, you will build the shared platforms that power Plaid’s AI and data capabilities. This is early-stage, hands-on work: you’ll partner with data, ML, and platform engineers to take capabilities from 0→1 and scale them into infrastructure that is accessible, reliable, and easy to use across Plaid. Your scope will span our AI platform (e.g., LLM gateway, eval infrastructure), our data platform (e.g., Databricks, AI-powered data tooling), and the systems connecting the two. This role is for an experienced platform PM who is excited about the rapidly evolving intersection of data infrastructure and AI. You are technically fluent, strategic, and execution-oriented, and know how to turn emerging capabilities into reliable platforms, primitives, and tools that other teams can build on. Responsibilities AI & Data Foundations Strategy: Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid. Platform Development : Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms, pipelines, quality, and governance. Internal Developer Experience & Adoption: Build platforms that Plaid teams choose to use. Develop a deep understanding of internal users, remove friction from common workflows, and measure success through adoption, developer velocity, reliability, and quality. Platform Evolution: Balance immediate needs from product teams with longer-term platform investments, identifying where Plaid should standardize, build shared primitives, enable experimentation, and/or leverage an existing external solution. Cross-Functional Leadership: Partner with product, engineering, data, research, and security to identify shared needs and embed foundational AI and data capabilities across Plaid. Communication & Alignment : Translate complex technical decisions and platform trade-offs into clear narratives that enable decisions across technical and non-technical stakeholders. Qualifications 8+ years of product management experience including direct experience building AI/ML platfo