Lead Product Manager, Enterprise AI & Automation

Marqeta Marqeta · Fintech · Job Requisition - National ONLY · Infrastructure

Lead Product Manager for Enterprise AI & Automation at Marqeta, focusing on defining, governing, and scaling AI across the organization. This role involves strategic planning, demand management, vendor evaluation, and driving adoption of AI tools and platforms for internal operations and employee experience within a regulated fintech environment.

What you'd actually do

  1. Collaboratively define Marqeta's Enterprise AI & automation strategy, including responsible AI principles, governance frameworks, and a multi-quarter adoption roadmap.
  2. Design and lead the Plan and Commit process with business stakeholders for AI and automation technology requests.
  3. Evaluate emerging AI technologies and conduct pilots to validate applicability and business value before committing to scale.
  4. Own and execute the Enterprise AI rollout plan in partnership with Corporate Communications and Learning and Development, ensuring deployment is phased, governed, and adoption-focused across all business units.
  5. Design and own the Enterprise AI metrics framework; measure, report, and continuously improve the quantifiable business value delivered by the AI program.

Skills

Required

  • IT product management
  • AI or emerging technology products
  • understanding of AI capabilities (summarization, classification, generation, agentic workflows)
  • building internal-facing enterprise AI systems or platforms
  • managing product backlogs, defects, and enhancement roadmaps
  • prioritization instincts

Nice to have

  • Experience in a regulated fintech environment

What the JD emphasized

  • AI governance
  • adoption
  • evaluate tools
  • run pilots
  • responsible AI principles
  • AI capabilities
  • agentic workflows
  • internal-facing enterprise AI systems
  • governance guardrails

Other signals

  • Define and scale AI strategy and governance for internal enterprise platforms and employee-facing tooling.
  • Drive adoption of AI initiatives through change management and building internal capabilities.
  • Evaluate emerging AI technologies and vendors, run pilots, and ensure adherence to responsible AI principles.