Lead Product Manager, Enterprise AI & Automation

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

Lead Product Manager to define, govern, and scale AI and automation across Marqeta's internal enterprise platform and employee-facing tooling. This role involves strategy, governance, vendor evaluation, pilot execution, and driving adoption of AI initiatives within a regulated fintech environment. It is not a research role but requires hands-on configuration and evaluation of AI tools and agentic workflows.

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. Partner across the business to identify and prioritize high-value AI and automation use cases for each business unit.
  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

  • 7+ years in IT product management
  • 2+ years focused on AI or emerging technology products
  • Understanding of AI capabilities (summarization, classification, generation, agentic workflows)
  • Experience building internal-facing enterprise AI systems or platforms
  • Product backlog management
  • Defect and enhancement roadmap management
  • Prioritization skills

Nice to have

  • Experience with AI governance
  • Experience with AI adoption frameworks
  • Experience with vendor evaluation and management
  • Experience with change management for AI initiatives

What the JD emphasized

  • AI governance frameworks
  • evaluate tools
  • run pilots
  • agentic workflows
  • regulated fintech environment

Other signals

  • Define and scale AI and automation across the organization
  • Focus on internal enterprise platform and employee-facing tooling
  • Drive measurable business value
  • Evaluate tools, run pilots
  • Partner with business unit leaders and AI Steering Committee
  • Define functional and technical requirements for internal AI/automation platforms
  • Evaluate emerging AI technologies and conduct pilots
  • Own and execute the Enterprise AI rollout plan
  • Establish governance guardrails that balance innovation velocity with responsible, compliant AI use