Mqreferrals

Lead Product Manager, Enterprise AI & Automation

Remote, USA

Sponsorship not specified$136k-$170kDetected 14 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.

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.

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.

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.

To support Flex First, we calibrate pay to a competitive value according to working location.

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.

$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 Mqreferrals's careers page and normalized into a canonical job model.