• Serve as the subject matter expert for US Healthcare integrations, with a primary focus on helping members navigate the complexities of the healthcare system—specifically demystifying EOBs, claims status, accumulators, and complex benefits. • Drive the product strategy for administrative self-service, ensuring members can easily take care of necessary actions and understand their financial and health data without friction. • Synthesize complex member needs and market dynamics into a solidified, roadmap focused on new revenue generation and efficiency. • Create buy-in for the product strategy with the Product Leadership Team through high-quality logic and rigorous business-case storytelling. • Define and execute a roadmap to increase the utilization of key features, proving that users can successfully complete their intended tasks and derive tangible value from the portal. • Ensures cross-functional alignment across the 'Triangle' (Product, Engineering, Design) to eliminate silos to the Essential Duties. • Define goals & measure success for the portfolio. • Represent our platform and infrastructure externally with clients and prospects. • Establish and deliver a high-integrity roadmap built to ensure predictable, high-scale execution, characterized by vetted trade-offs and binary commitments. • Significantly expand member reach and engagement. Accelerate program enrollment, feature adoption, and task completion rates through optimized member journeys, delivering measurable ROI for payer customers. • Drive industry-leading utilization and accuracy across core member domains including coverage, cost, claims, and accumulators, ensuring seamless member access to their financial and health data. • Optimize the home screen and overall information architecture (IA) of the Member Portal to ensure the experience is optimized for discoverability, findability, self service, and ease of use. • Successfully transition AI prototypes into production-grade experiences that redefine the member experience and achieve market readiness.

• Work closely with our Product Manager to support backlog management • Write user stories and assist in UX research and product documentation • Gain exposure to agile processes and learn how product decisions influence business KPIs • Develop skills in technical and business writing, Jira ticket management, and competitive analysis • Attend sprint refinement and planning meetings; update Jira tickets • Meet weekly with PM to review progress • Analyze industry-standard UX practices and conduct competitive feature analysis • Learn steps to replicate reported bugs accurately

• Own the Pre-Press and Editorial product portfolio that turns card concepts into print-ready files, including software across workflows such as mastering and asset ingestion, image selection, cropping and editing, card composition, imposition, and handoff to manufacturing. • Decide how work gets done across this portfolio, including when to build new software, stabilize or refactor existing systems, or integrate with third-party and vendor platforms. • Simplify and automate highly manual, error-prone workflows between creative teams and manufacturing, reducing rework, cycle time, and inconsistencies in print-ready outputs. • Apply AI and automation to real production problems by improving adoption of existing capabilities (e.g., AI card-back copy generation), delivering in-flight efforts (e.g., validation and error detection), and identifying where AI can remove steps entirely. • Work hands-on with engineering and data teams to turn AI and workflow ideas into reliable, production-ready systems, not prototypes. • Deliver results through shared ownership and collaboration with business operations, internal software teams, and external vendors, while maintaining end-to-end accountability across a highly matrixed environment. • Operate as a Principal-level Individual Contributor, setting the bar for product judgment, execution quality, and cross-team partnership, and influencing other PMs through example

• Own the end-to-end AI product strategy, grounded in technical feasibility and real-world constraints. • Translate model capabilities, data limitations, and evaluation results into clear product decisions. • Make hard trade-offs across quality, latency, cost, reliability, and user experience. • Work daily with ML, backend, and mobile engineers on design, evaluation, and iteration. • Define success metrics and feedback loops across offline evaluation, online experiments, and human feedback. • Drive execution with clear specifications, risk awareness, and disciplined prioritization. • Ensure AI features ship quickly, safely, and reliably into production. • Own AI product quality across UX, correctness, and outcomes.