• Define AI Product Strategy • Own the multi-year roadmap for AI agents, orchestration systems, and AI-enabled workflows • Identify platform-level opportunities across verticals and prioritize investments • Define product principles for responsible, scalable, enterprise-grade AI • Partner with executive leadership to align AI strategy with company goals • Define core AI capabilities (retrieval, agent frameworks, evaluation systems, safety layers) as reusable platform primitives • Balance experimentation velocity with enterprise reliability and compliance • Establish success metrics for AI quality, safety, adoption, and ROI • Guide build-vs-buy decisions for models, infrastructure, and tooling • Identify cross-industry AI use cases with scalable product potential • Develop monetization and packaging strategies for AI features • Partner with GTM teams to define positioning and competitive differentiation • Lead cross-functional initiatives spanning engineering, data, design, and sales • Ensure product discovery, experimentation, and validation are structured and measurable • Oversee product lifecycle from concept to scaled deployment • Set standards for AI experimentation, evaluation, and iteration • Mentor senior PMs and establish AI product best practices • Introduce frameworks for evaluating AI product opportunities • Shape hiring and team structure for AI product capability • Act as a thought partner to Principal Engineers and AI leadership.

• Hunt customer partnerships from entirely HOT INBOUND LEADS. • WIN multiple 5-7 figure deals every month. • SMASH call, proposal and sales targets as we set new company records. • Be the GUIDE for entrepreneurs as they raise MILLIONS of dollars & change the world. • Accelerate the GROWTH of exciting brands like Mydeal, Youfoodz and the NBL. • Be pushed to DEVELOP YOURSELF personally and professionally.

• Define clear, quantified success metrics and leading indicators before building • Translate company strategy into a credible, impact-driven roadmap • Engage with Sales and users to uncover pain points and validate what's worth solving • Define success metrics upfront, track performance, measure outcomes • Partner with Design and Engineering to deliver value quickly • Lead a high-performing Scrum team • Articulate the "why" behind your roadmap and build belief in your product direction

• 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.