Lead Product Manager, Enterprise AI & Automation

Were 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.

Youll 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. Youll 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. Wed love for you to join us!

This position is for an existing vacancy.

The Impact Youll Have

Internal AI & Automation Strategy

• Collaboratively define Marqetas 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.

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.

Enterprise IT Application & Platform Delivery

• Oversee QA and UAT processes to ensure systems meet business 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.
• Stay current on the rapidly evolving AI landscape tools models and platforms shift constantly and this role requires continuous learning to ensure Marqetas strategy reflects whats actually possible today.

Rollout Adoption & Change Management

• 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.
• 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.
• Establish and manage the internal AI organizational capabilityincluding an AI Champion Network and Community of Practiceto drive centralized knowledge sharing collective skill development and accelerated peer-led adoption across all business units.
• Define adoption metrics and post-launch stabilization plans for all major AI deployments.

Measurement & Governance

• Design and own the Enterprise AI metrics framework; 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.
• Proven experience delivering internal AI systems platforms or automation workflows that drive measurable efficiency for employee populations. You possess a product mindset for internal tools focusing on UX adoption and internal stakeholder satisfaction.
• 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 dont need to write production code but you should be able to evaluate a platform configure an agent and troubleshoot when something isnt 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.

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment whether that be from home or at a company office. To support Flex First we calibrate pay to a competitive value according to working location.

When determining salaries we consider several factors including but not limited to skills prior experience and work location. The new-hire base salary range for this position reflected in CAD is: 113800 - 142300

We also believe in recognizing the contributions of our people. Thats why we award annual bonuses to eligible employees rewarding both individual performance and the success of the entire company.

Along with monetary compensation Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company
• Monthly stipend to support our remote work model
• Annual development dollars to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

Required Experience:

IC