• contribute to developing a cutting-edge Revenue Growth Management solution with enhanced AI capabilities • play an instrumental part in owning the technical functionalities of initiatives, leading data engineers, front end developers and collaborating with architects • oversee the team as they work towards the objectives of building/evolving tool and processes for data accuracy, robustness, and reliability • develop/scale new capabilities through reusable data products in reporting for Trade Promotional Management and Event Analytics • create seamless user experience supported by automated dashboards tailored to different audiences/power users across multiple business functions • define and execute continuous improvement mindset on dashboards and data models based on insights from testing and user feedback • implement new RGM solution across our customer base to maximize joined growth • build tech-enabled AI products that enhance key RGM levers and provide new capabilities to the commercial organization

• Define and evangelize the roadmap for care transition features — from hospital discharge planning through 30/60/90-day post-acute follow-up with focus on skilled nursing transitions • Identify white-space opportunities by synthesizing clinical evidence, patient journey research, and market intelligence – and recognize when feature requests are pointing at deeper architectural opportunities • Partner with product leadership to shape annual product strategy, OKRs, and investment priorities for the post-acute domain • Lead continuous discovery with clinical end-users - shadow care managers and nurses in real workflows, not just run interviews • Design and run rapid experiments (prototypes, pilots, A/B tests) to validate problem-solution fit before full build, taking advantage of modern AI-assisted prototyping to move faster than traditional cycles allow • Translate qualitative insights and quantitative data into well-scoped, high-confidence hypotheses and into concrete specs engineering can act on immediately • Own the full sprint lifecycle — from story writing and acceptance criteria to UAT sign-off and release, using our AI centric tool sets to spend more time on judgment and less on process • Collaborate with engineering and design to ship features that are clinically accurate, HIPAA compliant, and delightfully usable • Maintain a healthy, prioritized backlog that balances strategic initiatives with technical debt and partner commitments • Define and track product KPIs tied to clinical outcomes, efficiency gains, and patient experience • Build feedback loops with customer success and clinical operations to continuously improve post launch • Report on product performance and key learnings to executive, customer, and clinical leadership

• Lead product definition and delivery across Exam Prep, Continuing Education, and Certification verticals • Translate strategic concepts into product requirements including user stories and specifications • Partner with stakeholders to define business objectives and success metrics • Synthesize competitive intelligence and customer data for product decisions • Collaborate with engineering and design for product feasibility and delivery • Own the full product lifecycle from discovery to launch and optimization • Define KPIs and track performance post-launch to drive enhancements

• You develop innovative product ideas and concepts together with developers, scientists and medical professionals • You coordinate the entire product development process — from the initial idea to a successful launch and beyond • You create precise, structured product briefs for the design and marketing teams • You take ownership of end-to-end planning, prioritization and ongoing development of cross-functional projects • You work closely with internal and external stakeholders, ensuring a smooth information flow across all channels (B2C & B2B) • You analyze market trends, identify opportunities and define clear USPs for our products in close collaboration with the marketing department • You create and manage labeling data in compliance with all relevant legal and regulatory requirements