Staff Product Manager, Applied AI
PlaidSan FranciscoPosted 26 March 2026
Job Description
Staff Product Manager, Applied AI
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, Washington D.C., London and Amsterdam.
The Customer Growth and Experience (CGX) team owns the end-to-end developer and customer lifecycle at Plaid — from first interaction to long-term success. We build the tools, onboarding experiences, and growth systems that make Plaid easy to discover, integrate, and scale with. We are focused on accelerating developer adoption, improving activation, and enabling scalable monetization through best-in-class developer experiences.
As a Staff Product Manager, Applied AI, you will define and execute Plaid’s external AI strategy for developers and Plaid’s customers. You will ensure Plaid is easy to use within AI-native applications, agent workflows, and AI coding environments. You will build developer-facing AI capabilities, shape ecosystem integrations, and drive AI-attributed growth. You’ll work closely with Engineering, Developer Relations, GTM, and Partnerships to position Plaid as the financial data layer for the next generation of AI-powered builders.
Responsibilities
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- Define and ship Plaid's AI-ready developer MCP.
- Build a CLI optimized for agent and LLM invocation.
- Improve AI-readability and usability of Plaid documentation and SDKs.
- Design lightweight hobbyist permissioning infrastructure.
- Partner with Go-To-Market to size AI-native opportunities.
- Launch ecosystem integrations and AI platform partnerships.
- Define metrics and measure AI-attributed developer growth.
- Influence long-term AI platform strategy at Plaid.
- This role will directly indluence developer acquisition, ecosystem, expansion, and Plaid's positioning in the AI era.
Qualifications
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- 5+ years of product management experience.
- Experience with AI platforms, LLMs, or developer AI tooling.
- Experience building developer-facing products (APIs, SDKs, platform tooling).
- Strong technical fluency and ability to work with engineers on platform architecture.
- Track record of shipping 0>1 initiatives.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your ap ... (truncated, view full listing at source)
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