• Define and execute product strategy, vision, and roadmap aligned to company goals. • Lead and coach an Associate Product Manager, focusing on clear ownership and accountability. • Drive delivery across multiple agile teams, ensuring speed, quality, and alignment. • Implement AI-enabled and agentic development practices (e.g., AI-assisted requirements, prototyping, testing, QA) to improve velocity and quality. • Identify and prioritize AI opportunities within center management workflows (billing, enrollment, staffing, & family engagement) to reduce the administrative burden. • Partner with Engineering and Design to use AI capabilities to deliver intuitive, high-value product experiences. • Own prioritization across features, bugs, technical debt, and AI initiatives. • Use data, analytics, and experimentation to guide decisions and improve product performance. • Engage customers to validate solutions and maintain deep understanding of user needs. • Communicate strategy, progress, risks, and outcomes to executive leadership. • Lead successful product launches with clear market impact and adoption.

• Lead delivery for the Billing and Data teams by managing team backlogs, facilitating Agile ceremonies, and ensuring work is clearly defined, prioritized, and ready for engineering execution. • Author detailed feature epics and user stories with precise acceptance criteria that give engineering teams the clarity needed to deliver without ambiguity. • Conduct and manage User Acceptance Testing (UAT) to validate that releases meet functional requirements, quality standards, and platform integrity expectations — including writing and executing SQL queries directly against BigQuery to verify data accuracy and pipeline correctness. • Coordinate release planning, write detailed release notes, and manage internal rollout communications for both platforms. • Collaborate with peer Product Owners to manage cross-team dependencies and sequencing across shared initiatives. • Partner with Product Managers to deeply understand product strategy and vision, ensuring tactical execution is consistently aligned with business direction and stakeholder priorities. • Partner with Engineering Managers to align on resource capacity and incorporate technical guidance into backlog planning, sequencing, and delivery decisions. • Collaborate with the Program Manager to support cross-functional coordination, ensuring key features are delivered with the right stakeholder alignment and organizational visibility. • Define and validate Minimum Viable Products (MVPs) that incrementally deliver value while aligning with NMI's strategic goals. • Provide product training and enablement for customer-facing teams, support, and other internal stakeholders. • Maintain transparency by communicating upcoming work, progress, and timelines to stakeholders and executives. • Develop and sustain deep knowledge of NMI's five billing platforms: their architectures, business rules, interdependencies, and how they serve different merchant and partner segments. • Serve as the primary point of contact for billing-related feature questions across engineering, finance, and operations stakeholders. • Partner with finance and cross-functional teams to ensure billing operations are compliant, auditable, and accurately integrated across key systems (e.g., payment processors, CRMs, ERP systems). • Translate complex billing requirements from cross-functional stakeholders into well-defined, executable user stories. • Identify and flag platform-level risks, technical debt, and consolidation opportunities in partnership with engineering leadership. • Develop and sustain deep knowledge of the Data team's ingestion pipelines, transformation layers, and data artifact delivery on GCP and BigQuery. • Serve as the primary point of contact for data platform questions, pipeline scope, and data artifact requirements across analytics and reporting stakeholders. • Author and execute SQL queries against BigQuery as a core part of UAT — validating pipeline outputs, confirming transformation accuracy, and ensuring data meets acceptance criteria before releases go live. • Partner with data engineering to define and prioritize data models, views, and dashboards that meet stakeholder reporting needs. • Advocate for data governance, lineage, and best practices in scalability, usability, and privacy-compliant data handling.

• Create and maintain product documentation and resources • Communicate product updates internally and externally • Organize, lead, or participate in development team ceremonies such as standups and refinement meetings • Create detailed product specifications for new products and features and work with other tech team members to refine • Ensure product designs are available that our customers will love • Use data and sound judgment to prioritize and make product related decisions • Conduct discovery sessions with customers to validate product requirements and uncover opportunities • Monitor and maintain product utilization data • Support Tilled internal teams with product related questions/issues • Maintain relationships with key Tilled vendors and processing partners for ongoing product needs • Research Tilled competitors and stay up to date on industry trends • Work to make sure Tilled team members have a thorough and effective product knowledge • Assist in the evaluation of vendors and partners to ensure they are the right fit for Tilled and maintain key vendor relationships for ongoing product needs • Work to help maintain the Tilled product roadmap and participate in prioritization discussions with key stakeholders

• Diversify the DTC funnel. • Define and execute the strategy for scaling paid social and other paid channels alongside our existing paid-search acquisition. • Make Brightside resilient against single-channel concentration risk. • Personalize the funnel by channel and intent. • Lower-intent prospects from one channel shouldn't be treated the same as higher-intent prospects from another. • Design differentiated creative, landing experiences, and — where the data supports it — different funnel flows for different audiences. • Orchestrate the messaging journey alongside the funnel. • Partner with lifecycle marketing to design and test the email and SMS touchpoints that move prospects through to conversion and activation — with the same channel-and-intent-aware lens as the on-site funnel. • Conversion doesn't only happen on-site; it happens between sessions. • Sharpen targeting on our largest paid channel. • Replace today's more generic approach with tactics that differentiate by prospect CAC:LTV. • Move from "more traffic" to "better-economics traffic." • Lift partner and health-system referrals. • Build for the operations team, too. • Run rigorous experiments. • Define hypotheses, design A/B tests, interpret results, and ship the wins. • Partner with engineering to make the funnel dynamic.