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Plaid

Staff Product Manager - AI Foundations

Leads AI strategy and builds scalable AI/data infrastructure for Plaid's developer platform, partnering with engineering and data science teams to deliver reliable AI systems enhancing financial products. Requires 8+ years PM experience with AI/ML products and deep technical fluency.

208k – 340kSan Francisco, CAProduct ManagementHybrid8+ YOE
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About the role

Responsibilities

  • 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.

Qualifications

  • 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.

Nice to Have

  • Hands-on experience with LLMs, embeddings, or agentic systems in production.
  • Familiarity with applied AI in regulated or high-trust domains such as fintech, identity, or risk.

Skills

AI/MLMachine LearningLLMsEmbeddingsData ScienceAPIsModel TrainingModel EvaluationModel DeploymentResponsible Ai

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