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 anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

This position is for an existing vacancy. The Impact You’ll Have Internal AI Automation Strategy 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.

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 based on strategic alignment, risk reduction, ROI, and operational impact. Conduct feasibility assessments and cost-benefit analysis for proposed AI initiatives. Prioritize the AI portfolio strategically against business outcomes and executive guidance — and hold the line on priorities to ensure engineering time is focused on the highest-impact work.

Maintain a visible backlog of active and pending AI and automation initiatives, giving stakeholders transparency into status, effort, and expected value.

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 organization. Vendor and Platform Management 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.