Lead Product Manager, Enterprise AI – Automation

Marqeta

Lead Product Manager defining enterprise AI strategy and governance at Marqeta. Collaborating cross-functionally to deliver AI and automation solutions enhancing operations and employee experience.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $136,100 - $170,100 per yearWebsite

About the role

Key responsibilities & impact

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.
Oversee QA and UAT processes to ensure systems meet business requirements before deployment.
Evaluate emerging AI technologies and conduct pilots to validate applicability and business value before committing to scale.
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.

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

AI capabilitiesproduct managementfunctional requirements definitiontechnical requirements definitioncost-benefit analysisQA processesUAT processesproduct backlog managementchange managementemerging technology evaluation

Soft Skills

collaborationprioritizationinfluence without authoritystrategic thinkingbusiness outcome focusadaptabilitycommunicationstakeholder engagementanalytical thinkingproblem-solving