• Own and evolve a set of payment rails across both specific methods and geographic regions • Lead partner integrations and manage relationships with payment processors, acquirers, and banking partners • Drive continuous improvement of authorization rates, settlement speed, and overall user conversion • Collaborate with fraud and compliance teams to ensure payment flows meet security, regulatory, and operational standards • Drive UX enhancements through structured experimentation and customer insights • Ensure payment capabilities are scalable and adaptable across our consumer app, pro trading app, and external interfaces such as on/off-ramps • Use data to inform prioritization, track performance, and iterate toward better outcomes

• Responsible for the product vision, strategy and goal attainment for one or more products within the Natuvion DCS portfolio focused on SAP data migration & transformation (including anonymization, validation and replication of data) • Define, manage and prioritize the product backlog with a strong focus on customer value and business impact • Central point of contact for service owners, customers, cross-functional delivery teams, sales, marketing and partner companies • Work closely with the Technical Lead to translate priorities into scalable, high-quality and technically feasible solutions • Break initiatives down into epics and user stories and clarify requirements in collaboration with technical and business stakeholders • Ensure backlog items meet the Definition of Ready and that delivered features meet the Definition of Done • Represent the product internally and externally and confidently communicate progress, priorities and outcomes

• Own the product vision end-to-end • Shape AI agent products from discovery to delivery • Bridge business and technology • Talk to customers directly • Work closely with data scientists, engineers, marketing and leadership

• Own the roadmap, requirements, and delivery of assigned AI solutions for equipment dealers (e.g., agentic workflows, predictive insights, recommendation systems, smart ingest). • Translate customer workflows, data constraints, and dealer pain points into clear PRDs, prototypes, and functional specifications. • Partner with Data Science/Engineering to define model behavior, evaluation criteria, guardrails, and acceptance thresholds. • Conduct structured model testing and evaluations (offline evals, human-in-the-loop testing, scenario testing). • Drive iterative prototyping to accelerate alignment and reduce development risk. • Establish and continuously improve AI product management standards for the organization—requirements templates, evaluation frameworks, prototyping practices, red/green testing, and UX patterns. • Mentor PMs and BAs on AI PM fundamentals, including writing prompts/specs, defining success metrics, running evaluations, and designing human-in-the-loop workflows. • Build repeatable launch playbooks for AI features: enablement, customer rollout, feedback loops, and performance monitoring. • Drive alignment across Product, Engineering, UX, Data Science, QA, and Customer teams to ensure timely delivery of AI features. • Collaborate with OEM and dealer partners to validate use cases and ensure data readiness (telematics, inspections, work orders, parts, etc.). • Maintain clear communication streams, ensuring stakeholders understand status, risks, and changes in model behavior or scope. • Serve as a subject-matter partner to leadership on prioritization, technical feasibility, and long-term AI platform strategy. • Ensure delivered models and features meet functional requirements, evaluation thresholds, safety guidelines, and performance KPIs. • Establish feedback loops to track model drift, accuracy, response quality, and user adoption. • Lead post-launch analysis to identify improvements and future opportunities.