• 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.

• Own the full lifecycle of Centivo's stop loss and captive product offerings — from program structure and feature design through launch, iteration, and ongoing performance management. • Define and maintain product specifications for specific stop loss coverage, aggregate stop loss, and captive arrangements, ensuring terms, attachment points, and program features are competitive and financially sound. • Lead the evaluation and design of level funding, minimum premium, and partial self-funding structures as differentiated market offerings. • Build and maintain a prioritized product roadmap for the risk management domain that balances underwriting discipline with market competitiveness. • Translate emerging trends in stop loss, reinsurance, and captive markets into actionable product initiatives. • Partner with underwriting to develop and refine risk selection criteria, pricing frameworks, and program structures — including layered and quota share approaches. • Define product guardrails that support sound underwriting outcomes while giving sales and client management the flexibility to compete effectively. • Lead product strategy for captive program creation, management, and redesign. • Define the criteria and structure for new captive formations, assess performance of existing captives, and drive product changes that optimize outcomes for captive members. • Define product requirements for reinsurance arrangements that support Centivo's risk portfolio. • Work across finance, underwriting, actuarial, network and teams to ensure risk product designs are operationally viable and financially modeled accurately. • Monitor the stop loss carrier, MGU, and captive market landscape. • Define the metrics that indicate healthy risk product performance and use them to drive ongoing product decisions. • Represent Centivo's risk management product capabilities externally with brokers, consultants, reinsurers, and at industry forums.

• Define and drive the growth product strategy and roadmap, with clear ownership over top-of-funnel, activation, conversion, and retention metrics. • Design, run, and analyze A/B and multivariate experiments across the product to identify high-impact growth levers and rapidly iterate on findings. • Collaborate with engineering and design to build and optimize growth-oriented product surfaces — including onboarding flows, in-product upsell and upgrade moments, referral mechanics, and pricing page experiences. • Partner closely with marketing, revenue operations, and sales to align on the full customer journey, from first touch to paid conversion and expansion. • Develop a deep understanding of user behavior through quantitative analysis and qualitative research, and use those insights to prioritize the growth roadmap. • Own growth metrics including signups, activation rate, trial-to-paid conversion, time-to-value, and net revenue retention, and report on progress regularly to leadership. • Build and maintain a healthy experimentation pipeline, balancing quick wins with longer-term bets that compound over time.