Staff Product Manager - AI Foundations

As a Product Manager on the AI Foundations team, you will drive Plaid's AI strategy by building the data and intelligence layer that powers smarter financial experiences. You will work across engineering, data science, and research to develop scalable AI systems—from core embeddings and representation learning to applied model integrations that enhance developer and consumer outcomes. You are technically fluent, strategic, and execution-oriented, and you enjoy turning advanced machine-learning capabilities into reliable, trusted infrastructure that scales across the ecosystem.

Responsibilities

• Define the strategy, roadmap, and success metrics for the core AI and data foundation
• Partner with Engineering and Data Science to design scalable AI systems, from model training and evaluation pipelines to APIs
• Drive initiatives from concept to production, balancing rapid experimentation with reliability, transparency, and responsible AI practices
• Work closely with research, platform, and product teams to embed AI capabilities across products and the developer platform
• Use metrics, model performance data, and customer feedback to validate impact and inform prioritization
• Translate complex AI concepts into clear narratives and tradeoffs for technical and non-technical stakeholders

Requirements

• 8+ years of product management experience with direct experience leading AI/ML or applied intelligence products from concept to production with measurable impact
• Deep technical fluency in how modern ML systems are trained, evaluated, deployed, and monitored
• Strategic and executional range, skilled at defining long-term AI vision while delivering near-term experiments, prototypes, and launches
• Platform mindset and experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks
• Strong communicator and influencer who can translate complex AI concepts for technical and non-technical audiences
• Commitment to responsible AI and transparency, especially in regulated or high-trust domains
• Hands-on experience with LLMs, embeddings, or agentic systems in production (nice to have)
• Familiarity with applied AI in regulated or high-trust domains such as fintech, identity, or risk (nice to have)

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)
• Equity