• Own the product vision and roadmap for Rightway’s Clinical Risk & Engagement product suite, balancing near-term delivery (monitoring + identification) with a longer-term path to proactive and automated engagement. • Define the end-to-end “risk to action” workflow across teams: forecast → detect risk → explain drivers → prioritize opportunities → enable outreach → measure impact. • Build tools that reduce or replace manual analysis by enabling: • automated monitoring of employer populations against contractual guarantee thresholds • trend detection using contract rules and claims-based spend • clear views into “what changed” and “why we’re trending over”. • Create dashboard-style experiences to identify and understand the members driving spend, enabling rapid drill-down from customer → cohort → member. • Partner with clinical teams to develop a high-signal workflow that supports outreach and behavior change, including: • a prioritized, ranked “chase list” of members based on estimated intervention value • member context (condition, medication usage) and clinically appropriate alternatives • clear explanations that help clinical teams act confidently and consistently. • Ensure outputs are practical for real outreach operations (not just analytics), and iterate with fast feedback loops. • Partner with Data Engineering and Analytics teams to define the models and datasets that power these products, leveraging: • Rx claims, medical claims • demographics (age, sex) • member-provided information (health profile submissions). • Set standards for usability and trust: timeliness, data quality, explainability, and auditability (especially where contract rules and dollars are involved). • Explore opportunities to incorporate AI/ML where it improves model quality and prioritization without sacrificing interpretability and reliability. • Translate business needs into detailed requirements, user stories, acceptance criteria, and success metrics. • Lead discovery with financial risk and clinical partners; align stakeholders around scope, sequencing, and tradeoffs. • Manage a prioritized backlog across application engineering and data teams; ship iteratively and improve based on adoption and outcomes.

• Own the holistic mobile app experience, ensuring consistency and quality across native features and embedded webviews built by other teams • Manage day-to-day execution of the mobile team's development backlog, including sprint planning, tracking, and delivery coordination • Partner with the mobile engineering team to ensure features are delivered on time and meet quality standards • Coordinate with other product teams to review and validate webview implementations, ensuring they meet mobile design and performance standards before release • Serve as the mobile experience advocate across the organization, providing guidance to teams on mobile-specific requirements and constraints • Review, validate, and prioritize mobile-specific defects, working them into sprints appropriately • Produce clear documentation of planned features as epics and user stories for the mobile team • Collaborate with engineers and QA to ensure functional and visual design quality throughout the development process • Gather and synthesize user feedback, analytics, and testing results specific to the mobile experience • Participate in customer and prospect demos as needed; support RFP responses related to mobile capabilities • Collaborate with Design and Marketing on mobile-specific sales tools and collateral

• Own the 0G Product Ecosystem: Drive the vision and execution for our core infrastructure products that enable the next generation of decentralized AI and Web3 applications. • Define & Evangelize the Ecosystem Vision: Synthesize the broader vision for 0G’s AI Infrastructure (data availability, storage, compute) into a cohesive product strategy for the user-facing ecosystem. • Own the End-to-End Developer & User Journey: Map and optimize the entire interaction lifecycle across our product suite. • Drive Cross-Product Ecosystem Strategy: Identify key leverage points across your product portfolio to accelerate network adoption. • Execute with Precision Across the Stack: Collaborate with engineering to translate cross-product requirements into technical specs. • Measure, Learn, and Iterate Holistically: Define success metrics for the entire ecosystem and for individual products. • Be the Authority on Web3 UX & Adoption: Serve as the internal expert on how developers and users interact with infrastructure ecosystems.

• Own engagement and retention metrics: Define, track, and drive improvements to key engagement indicators (DAU/MAU, session frequency, feature adoption) and retention metrics (D1/D7/D30 retention, churn reduction, reactivation rates). • Develop engagement strategy: Build the product vision and roadmap for experiences that deepen user engagement, including habit-forming loops, personalized journeys, and contextual nudges that guide users toward value. • Drive retention through product-led initiatives: Design and execute strategies to reduce churn, increase stickiness, and re-engage lapsed users through lifecycle marketing, personalization, and product interventions. • Leverage AI to accelerate product development: Use AI-powered tools for prototyping, data analysis, content generation, and experimentation. Apply AI to personalize user experiences and predict engagement patterns. • Lead experimentation and optimization: Design and run rigorous A/B tests, analyze results, and iterate rapidly. Build frameworks for segmentation, targeting, and journey optimization in partnership with data science. • Build engagement infrastructure: Lead the creation of foundational systems including contextual messaging, in-app marketing surfaces, and personalization frameworks that scale across the product. • Collaborate cross-functionally: Partner with engineering, design, marketing, and analytics to deliver cohesive experiences. Influence stakeholders across the organization to align on engagement priorities. • Translate insights into action: Use quantitative data to identify opportunities and qualitative research to understand user motivations. Turn insights into clear product requirements and user stories.