Staff / Principal
Plaid- Base salary
- $208k–$340k Published base salary range · Top quartile for Product (158 listings)
- Location
- Remote - US Remote eligibility
- Employment
- Full-time Staff / Principal
About the job
About Plaid
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.
Role
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.
Responsibilities
- Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid.
- Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms, pipelines, quality, and governance.
- 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.
- 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.
- Partner with product, engineering, data, research, and security to identify shared needs and embed foundational AI and data capabilities across Plaid.
- 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.
Nice to Have
- Hands-on experience with LLMs, embeddings, or agentic systems in production.
- Experience building AI developer tooling in production.
- Familiarity with applied AI in regulated or high-trust domains such as fintech, identity, or risk.
Compensation & Benefits
Target Base Salary $207.6K – $339.6K • Offers Equity. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).
Skills & tags
Compare the essentials before you leave: pay, remote scope, employment type, source, and the employer apply destination.