• Own and manage the full product lifecycle from initial concept through development, launch, and market expansion. • Define and maintain the product backlog and long-term strategic roadmap. • Develop a clear product vision and strategy aligned with industry trends and SAP’s evolving technology landscape. • Analyze market trends, customer requirements, and the competitive environment to identify new opportunities. • Lead the definition, planning, and scoping of new features or complementary products. • Collaborate closely with Sales, Marketing, and Consulting to execute comprehensive go-to-market strategies. • Engage proactively with SAP, customers, and ecosystem partners to drive co-innovation. • Coordinate and lead cross-functional teams through development and continuous improvement of the product.

• Lead the internal AI Council, acting as a high-visibility advisor to the C-suite to define the agenda for AI adoption, ethics, and investment. • Define the requirements for a centralized orchestration layer, ensuring AI agents can securely 'read and write' to core systems via MuleSoft and native API integrations. • Ensure AI frameworks are built on high-fidelity data, moving from fragmented 'Shadow AI' to a governed, world-class Internal AI Gateway. • Lead the 'Buy vs. Build' strategy while embedding automated security guardrails into the platform’s DNA.

• Coach and mentor to enable high performing teams and drive product success. • Establish growth opportunities to broaden your TOM. • Identify new TAM and align the overarching product vision and strategy across multiple verticals. • Going deep to solve customer pain points while delivering measurable and demonstrable business outcomes. • Drive cross-functional alignment by seeking out customer pains and gains from internal stakeholders. • Identify specific gaps in retention and product market fit across multiple areas across multiple product ownership verticals. • Create experiments and methods to rapidly solve for these gaps. • Establish product KPIs and ensure accountability to performance while driving results from product research into the backlog for multiple development teams while managing the outcome launch strategies to ensure broader product evolution based on customer and business metrics. • Drive multiple development teams by breaking down valuable work, coordinating delivery slices, and ensuring sprints deliver customer and business outcomes. • Own the end-to-end product lifecycle for key product segments in the SalesAi platform coordinating smooth operations from go-to-market to product sunsetting and support. • Engage with customers to gather insights, validate assumptions, and ensure product-market fit. • Analyze product performance and user behavior using data tools. • Be the product champion of the trio of (Valuable, Usable, Feasible) with engineering and UX to drive clarity for customer pains and gains that turn into product outcomes to enable business goals. • Be a player coach and contribute individually with work breakdown facilitation as well as strategic vision casting using tools such as Figma, Jira, Productboard, and others. • Demonstrate a customer-centric mindset across the organization by bringing clarifying value as the voice of the customer across multiple departments and stakeholders. • Define the product direction and strategy for product areas within SalesAi leading your area of product roadmap by managing goals and financial and resource investments to scale in our market. • Engage with customers to understand their strategies, end-to-end business processes, pain points, and priorities to inform product strategy and provide transparency into roadmaps/managing expectations. • Partner closely with Engineering, UX, and other internal SalesAi teams to drive product and delivery success. • Analyze landscape and industry trends to advance our products and drive innovation.

• Own underwriting logic for both cash advances and loans. • Partner with Data Science to refine model thresholds, LTV caps, expected-loss calculations, and override rules. • Improve calibration between expected loss (EL) and actual portfolio performance. • Ensure decisioning is fast, consistent, and scalable across asset categories. • Improve clarity, trust, and ease-of-use in the borrowing experience. • Reduce friction and increase completion rates for both cash advances and loans. • Monitor loss rates, delinquency, utilization, and customer repayment behavior. • Work with Finance to maintain healthy margins and capital efficiency. • Implement guardrails that reduce adverse selection and improve overall risk quality. • Build dashboards and reporting that clearly communicate model health. • Own CX/Ops flows related to funding, repayment, manual review, and exceptions. • Build and own the quarterly roadmap for cash advances and lending.