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 – 340k/yr
Hybrid8+ YOEProduct Management
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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