• Analyze and synthesize data across multiple systems to identify where leads drop off and what drives conversion • Own the identification and prioritization of high-impact growth opportunities based on data-driven insights • Define, scope, and deliver product improvements in partnership with data engineering teams • Define and manage the data layer as the single source of truth for core business metrics, enabling consistent, reliable, and self serve analysis • Establish clear definitions and alignment on key metrics across sales and operations • Improve data quality and instrumentation to ensure accurate and reliable decision-making • Translate complex, multi-source data into clear narratives and actionable recommendations • Partner cross-functionally to ensure insights lead to measurable business outcomes

• Partner with the largest U.S. banks and financial institutions to understand their needs and implement stablecoin solutions for treasury management, cross-border settlement, client offerings, and more. • Collaborate with exchanges, card networks, payment companies, foreign banks, asset managers, and other key players to deliver best-in-class features and co-develop capabilities that make our stablecoins the preferred infrastructure. • Lead cross-functional processes with compliance, regulatory, finance, accounting, treasury management, operations, audit, and other teams. • Define and prioritize core product features by deeply scoping problems, articulating constraints, and co-creating solutions with engineering.

• Develop the long-term vision and strategy for your pillar and create and execute on a compelling roadmap • Build deep user empathy with both Stripe's merchants and financial partners, understanding global payment industry trends and competitors' offerings to influence Stripe's roadmap effectively • Collaborate with engineering, design, legal, and other teams to jointly shape product experiences that delight Stripe’s users • Ensure we are building a reliable, performant platform, including system reliability, API extensibility, and latency • Use metrics to inform your point of view and leverage analytics to measure success

• Ensuring that Tucuvi's clinical AI is effective and efficient • Collaborating with Product, Customer Success, and clinical expertise • Prototyping care pathway logic and workflow changes directly • Connecting clinical product decisions to outcomes: clinical, operational, and commercial • Collaborating with the clinical team to define standards for escalation logic and clinical actions across the portfolio