Marqeta
LeadProductManager,EnterpriseAI&Automation
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Product Manager, Enterprise AI & Automation at Marqeta. Skills: Enterprise AI, Automation, Product management. Define AI vision. Build governance frameworks”
What You'll Achieve.
Improve quantifiable business value; Drive measurable business value
Industry & Context.
Prioritization instincts; Troubleshoot systems
What They're Looking For.
Must Have
7+ years IT product management, 2+ years AI product management, Understand AI capabilities, Build internal-facing AI systems, Manage product backlogs, Manage enhancement roadmaps, Influence without authority, Evaluate AI platforms, Configure AI agents, Troubleshoot AI systems
Nice to Have
No-code/low-code AI platforms experience, Fintech experience, Regulated industry experience
What You'll Do.
Build governance frameworks
Build adoption frameworks
Prioritize AI initiatives
Establish governance guardrails
How You'll Work.
Team & Collaboration
Business unit leaders; AI Steering Committee; BT engineering; Executive team; Finance stakeholders; Legal stakeholders; Security stakeholders
Communication Scope
Presenting frameworks
Process & Methodology
Product backlogs, Roadmaps
Full Job Description
We're looking for a Lead Product Manager, Enterprise AI and Automation to define how Marqeta identifies, governs, and scales AI and automation across the organization, focusing on the internal enterprise platform and employee-facing tooling to drive value across Marqeta’s internal operations and employee experience. 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 Enterprise AI measure, report, and continuously improve the quantifiable business value delivered by the AI program. Report progress and outcomes to the senior leadership on a regular cadence. Establish governance guardrails that balance innovation velocity with responsible, compliant AI use — particularly important in a regulated fintech environment. Who You Are 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. Demonstra
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