Lead Product Manager, Enterprise AI & Automation

We're looking for a Lead Product Manager, Enterprise AI and Automation to lead how Marqeta identifies, governs, and scales AI and automation across the organization. Reporting into the Business Technology (IT) organization, you will own the internal enterprise platform strategy, focusing on employee-facing tooling that drives productivity and efficiency for our internal teams. You'll collaboratively design the AI vision for the enterprise, partner to build the governance and adoption frameworks that make it real, and work hands-on to evaluate tools, run pilots, and drive measurable business value. You'll partner closely with business unit leaders, the AI Steering Committee, and BT engineering to ensure AI initiatives are prioritized against the highest-impact problems — and that what gets built is driven to adoption. This is not a research role or a strategy-only role. The right person is equally comfortable presenting an AI governance framework to the executive team and rolling up their sleeves to configure an agent, evaluate a vendor, or run a pilot with a business unit. We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here. The Impact You’ll Have Internal AI & Automation Strategy Collaboratively define Marqeta's Enterprise AI & automation strategy, including responsible AI prin [... source excerpt omitted ...] nterprise 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. Demand Management & Prioritization 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 b [... source excerpt omitted ...] ing stakeholders transparency into status, effort, and expected value. Enterprise IT Application & Platform Delivery 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 organ