Staff Product Manager, Plaid

• This role is for an experienced PM who thrives at the intersection of AI and platform products
• You are technically fluent, strategic, and execution-oriented
• You enjoy turning advanced machine-learning capabilities into reliable, trusted infrastructure that scales across Plaid’s ecosystem
• 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, with the ability to engage confidently with engineers and data scientists
• 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 into clear narratives and decisions for technical and non-technical audiences
• Commitment to responsible AI and transparency, especially in regulated or high-trust domains
• We encourage you to apply to a role even if your experience doesn't fully match the job description

Desirable

• Product Managers at Plaid are curious, customer-obsessed, and move quickly to deliver value
• They take ownership, sweat the details, and make sound decisions with imperfect information
• 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
• AI Platform Vision: Define the strategy, roadmap, and success metrics for Plaid’s core AI and data foundation, enabling smarter, more adaptive financial products across the ecosystem
• System Development: Partner with Engineering and Data Science to design scalable AI systems, from model training and evaluation pipelines to APIs that deliver intelligence at scale
• Product Execution: Drive initiatives from concept to production, balancing rapid experimentation with reliability, transparency, and responsible AI practices
• Cross-Functional Collaboration: Work closely with research, platform, and product teams to embed AI capabilities across Plaid’s products and developer platform
• Measurement and Iteration: Use metrics, model performance data, and customer feedback to validate impact, inform prioritization, and continuously improve outcomes
• Communication and Alignment: Translate complex AI concepts into clear narratives and tradeoffs for technical and non-technical stakeholders, building shared understanding across teams