Staff Product Manager, AI & Data Foundations Platform

Plaid Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Plaid Inc. is seeking an experienced Product Manager for the AI & Data Foundations team. You will build shared platforms powering Plaid’s AI and data capabilities, spanning AI infrastructure, data tooling, and cross-system integrations.

This early-stage, hands-on role partners with data, ML, and platform engineers to scale capabilities into reliable, developer-friendly platforms. The ideal candidate has deep technical fluency in data/AI systems, a track record turning ambiguity into decisions,

Qualifications

• 8+ years of product management experience including AI/ML platform or data infrastructure work.
• Deep fluency in modern data and AI/ML systems, including data storage, processing, model development and monitoring.
• Proven ability to operate in ambiguous, early-stage environments and drive adoption.
• Experience in fast-paced startup environments.
• Experience building scalable developer or data platforms via APIs and primitives.

Responsibilities

• Define the vision, roadmap, and success metrics for shared AI/data platforms.
• Partner with data, ML, and platform engineers to design and ship AI infrastructure, tooling, data platforms, pipelines, governance.
• Improve internal developer experience by reducing friction and measuring adoption, velocity, reliability, and quality.
• Balance immediate platform needs with long-term investments and standardization.
• Collaborate with product, security, and research to embed capabilities across Plaid.
• Translate technical decisions into clear narratives for stakeholders.

Skills

AI/ML platform experience

Data infrastructure

Cross-functional leadership

Strategic execution

Clear communication

Job description

Plaid Inc. is seeking an experienced Product Manager for the AI & Data Foundations team. You will build shared platforms powering Plaid’s AI and data capabilities, spanning AI infrastructure, data tooling, and cross-system integrations.

This early-stage, hands-on role partners with data, ML, and platform engineers to scale capabilities into reliable, developer-friendly platforms. The ideal candidate has deep technical fluency in data/AI systems, a track record turning ambiguity into decisions,