Lead Product Manager – Enterprise AI, Automation

Posted 1hrs ago

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Job Description

Lead Product Manager for Marqeta focusing on AI and automation strategies improving internal operations. Collaborating across business units for high-value AI use cases and effective implementation.

Responsibilities:

  • Collaboratively define Marqeta's Enterprise AI & automation strategy, including responsible AI principles, governance frameworks, and a multi-quarter adoption roadmap.
  • Partner across the business to identify and prioritize high-value AI and automation use cases for each business unit.
  • Map how work flows across the enterprise to identify where AI can deliver step-change improvements — not just incremental automation, but fundamentally better ways of operating.
  • Define functional and technical requirements (FRD/TRD) for all internal AI/automation platforms, serving as the primary proxy for the BT engineering team.
  • Partner with Architecture Review Boards and AI Steering Committee to ensure all AI platforms and solutions adhere to defined IT standards and governance frameworks.
  • Design and lead the Plan and Commit process with business stakeholders for AI and automation technology requests.
  • Define criteria for prioritizing automation projects and enhancements based on strategic alignment, risk reduction, ROI, and operational impact.
  • Conduct feasibility assessments and cost-benefit analysis for proposed AI initiatives.
  • Prioritize the AI portfolio strategically against business outcomes and executive guidance — and hold the line on priorities to ensure engineering time is focused on the highest-impact work.
  • Maintain a visible backlog of active and pending AI and automation initiatives, giving stakeholders transparency into status, effort, and expected value.
  • Oversee QA and UAT processes to ensure systems meet business requirements before deployment.
  • Participate in sprint demos and provide feedback to ensure development meets defined acceptance criteria.
  • Coordinate deployment windows to minimize business disruption and risks.
  • Establish hypercare programs for major system go-lives, including elevated incident SLAs and daily status check-ins during stabilization.
  • Develop Business Systems Product Management competencies across the BT organization to ensure consistent and high-quality product practices across the BT organization.
  • Evaluate emerging AI technologies and conduct pilots to validate applicability and business value before committing to scale.
  • Lead vendor selection and commercial negotiations in partnership with Procurement and relevant stakeholders, and own ongoing vendor management for all Enterprise AI tooling contracts.
  • Stay current on the rapidly evolving AI landscape — tools, models, and platforms shift constantly, and this role requires continuous learning to ensure Marqeta's strategy reflects what's actually possible today.
  • 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.
  • Drive change management for AI initiatives — the best solution is worthless if nobody uses it. Build the channels, rituals, and feedback loops that make AI visible and valued across the organization.

Requirements:

  • 7+ years in IT product management, with at least 2 years focused on AI or emerging technology products.
  • A genuine understanding of AI capabilities — summarization, classification, generation, agentic workflows — and the ability to translate that into business strategy and concrete use cases.
  • Experience building internal-facing enterprise AI systems or platforms; you think in systems and adoption curves, not just features.
  • Demonstrated experience managing product backlogs, defects, and enhancement roadmaps for enterprise applications or internal platforms.
  • Strong prioritization instincts and the ability to make hard calls about what matters most in a fast-moving, resource-constrained environment. You think in terms of business outcomes, not activity.
  • Demonstrated ability to influence without authority — across business units, finance, legal, and security stakeholders.
  • Comfort operating hands-on with AI tooling: you don't need to write production code, but you should be able to evaluate a platform, configure an agent, and troubleshoot when something isn't working.
  • Experience with no-code/low-code AI platforms (e.g., Workato, or similar) is a strong plus.
  • Change management experience — you know how to drive adoption, not just deployment.
  • Fintech or regulated industry experience preferred.

Benefits:

  • Multiple health insurance options
  • Flexible time off – take what you need
  • Retirement savings program with company contribution and after tax contributions
  • Equity in a publicly-traded company and an Employee Stock Purchase Program
  • Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
  • Free therapy sessions, financial and professional coaching, and legal advice
  • Monthly stipend to support our remote work model
  • Annual “development dollars” to support our people growth and development
  • Through Flex First, the freedom to live and work wherever you and your family thrive