Staff Product Manager - AI & Data Foundations
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/25/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define the strategy, roadmap, and success metrics for shared AI and data platforms. You will partner with data, machine learning, and platform engineers to deliver reliable infrastructure, developer tooling, pipelines, quality controls, and governance. You will drive adoption, balance immediate needs with long-term investments, and communicate technical trade-offs to stakeholders.
Requirements
- 8+ years of product management experience, including experience building AI or machine learning platforms, applied intelligence products, or data infrastructure
- Technical fluency in modern data and AI or machine learning systems
- Experience operating in ambiguous early-stage environments
- Experience building scalable developer or data platforms using primitives, APIs, and frameworks
- Ability to set long-term vision while delivering experiments, specifications, prototypes, and launches
- Strong cross-functional communication and leadership
- Commitment to responsible AI and transparency
Responsibilities
- Define the vision, roadmap, and success metrics for shared AI and data platforms
- Partner with data, machine learning, and platform engineers to design and ship foundational capabilities
- Improve internal developer experience and measure platform adoption, velocity, reliability, and quality
- Balance immediate product needs with long-term platform investments
- Lead cross-functional alignment across product, engineering, data, research, and security
- Communicate technical decisions and platform trade-offs to technical and non-technical stakeholders
Benefits
- Equity
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)