Description
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.
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.
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 platform systems, applied intelligence products, or other data infrastructure from concept to production
- Deep technical fluency in modern data and AI/ML systems, including how data is stored and processed and how models are developed, evaluated, deployed, and monitored.
- Demonstrated success operating in ambiguous, early-stage environments, turning loosely defined problems into decisions, shipped capabilities, and measurable adoption or impact.
- Ability to operate in a fast-paced startup environment
- Platform mindset and experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks.
- Strategic and executional range. Skilled at setting the long-term vision while also delivering near-term experiments, specs, prototypes, and launches.
- Strong communicator and cross-functional leader who can translate complex technical concepts into clear narratives to drive decisions for technical and non-technical stakeholders.
- Commitment to responsible AI and transparency, especially in regulated or high-trust domains.
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k)
- Additional compensation in the form(s) of equity and/or commission