• Own product vision and strategy for the Insights BU — what we build, why it matters, how it serves HR leaders making strategic decisions • Be a product builder first — prototype in Figma, write prompts for AI, pair with engineers on implementation, test with real users, ship and iterate • Build AI-powered products that turn recognition patterns into strategic insights — experiment with generative UIs, prompt engineering, AI-assisted analysis; reinvent what product work means in real-time • Translate data into strategic narratives — help organizations understand team health, engagement, and performance drivers • Drive cross-BU alignment — coordinate with other product leaders on shared surfaces and platform decisions • Partner with a product-minded design and engineering team — add the product lens to senior designers and engineers who already think strategically • Deeply understand the HR/Leadership audience — research how they work, what they need, what frustrates them; use those insights to innovate on everything from recognition programs to how organizations approach performance • Move fluidly between strategy and execution — zoom out for business opportunity, zoom in to debug a data model or refine an insight • Champion simplicity — apply common sense, move fast, resist creating process for the sake of process

• Own and lead customer discovery activities, conducting user interviews and synthesizing feedback into features that deliver value towards strategic goals and initiatives on the roadmap. • Be a SME for smaller product areas, manage backlogs, write user stories, manage UAT, and coordinate internal marketing and new product rollout activities. • Collaborate with 1-2 functional teams to drive alignment and successful product delivery. • Communicate product progress to stakeholders and ensuring alignment to business goals and managing expectations. • Track and report on key product KPIs and project success metrics, providing insights for continuous improvement.

• Define and own the payments product vision and multi-year roadmap for a B2B2C vertical SaaS platform. • Lead strategy across embedded payments, onboarding, pricing, settlement, payouts, refunds, disputes, and reconciliation. • Ensure payments are tightly integrated into core SaaS workflows, driving merchant adoption, retention, and ARPU. • Evaluate and launch new capabilities such as industry-specific payment flows, financing, subscriptions, and value-added services. • Deeply understand the needs of platform customers (businesses) and their end users (consumers). • Design intuitive experiences for merchant onboarding, configuration, reporting, and cash flow visibility. • Optimize checkout and payment flows to maximize conversion, authorization rates, and customer satisfaction. • Partner with engineering to deliver highly reliable, scalable payment systems that support peak volumes and growth. • Translate complex platform requirements into clear PRDs, APIs, and success metrics. • Coordinate across risk, compliance, finance, operations, sales, and customer success to deliver end-to-end solutions. • Own the product partnership with Risk, Compliance, and Legal to meet requirements including PCI, AML, KYC/KYB, and card network rules. • Balance friction and fraud prevention across merchant onboarding and end-customer payment flows. • Define and track KPIs including payment adoption, take rate, authorization rate, payment success rate, fraud loss, and settlement SLAs. • Use data, experimentation, and customer insights to prioritize roadmap decisions. • Serve as the payments domain expert within the product organization. • Mentor PMs and raise the bar for platform thinking and execution. • Influence senior leaders with clear narratives around tradeoffs, risk, and opportunity.

• Manage Luna’s Platform and Web applications that support scheduling, billing / claims processing, and other operational workflows. • Identify, plan, and shepherd the release of new features and enhancements with a focus on scale, reliability, and support for new customer experiences. • Conduct ongoing user research, including interviews and usability testing. Define and track success metrics such as workflow automation, cost optimization, and feature effectiveness to measure impact and guide prioritization. • Closely support Engineering by clearly communicating requirements and product decisions, monitor the status of in-progress development, engage in Quality Assurance processes, and partner with the Engineering Manager in sprint planning, execution, and reviews. • Partner with Engineering to enhance APIs, data models, and shared services that support multiple applications and enable consistent, scalable development across teams.