Marqeta
Lead Product Manager, Enterprise AI & Automation
Remote, USA
Sponsorship not specified$136k-$170kDetected 5 days ago
Vendor ManagementProcurementResearchLeadershipCommunicationPublic Speaking
About the role
- 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.
- This role can be performed remotely in the United States, only in one of our National locations, which you can review here.
Responsibilities
- 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.
- 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.
- Maintain a visible backlog of active and pending AI and automation initiatives, giving stakeholders transparency into status, effort, and expected value.
- 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.
- 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.
- Strong prioritization instincts and the ability to make hard calls about what matters most in a fast-moving, resource-constrained environment.
- 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.
Nice to have
- A tier for the most expensive working areas, like the San Francisco Bay area and New York City.
- Visit this page or consult with a Recruiter to determine which tier would be applicable to you.
- Experience with no-code/low-code AI platforms (e.g., Workato, or similar) is a strong plus.
- Fintech or regulated industry experience preferred.
- Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.
Compensation
- To support Flex First, we calibrate pay to a competitive value according to working location.
Benefits
- Conduct feasibility assessments and cost-benefit analysis for proposed AI initiatives.
- 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.
Company info
- $136,100 - $170,100
- We also believe in recognizing the contributions of our people.
- That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.
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This listing is sourced directly from Marqeta's careers page and normalized into a canonical job model.