• Set and own the roadmap, translating consumer and retailer needs into a clear vision, milestones, and launch plans • Lead product discovery, uncover customer pain points and market opportunities, and partner with engineering and design to deliver solutions • Drive measurable results including product adoption and engagement outcomes. Establish and maintain metrics, dashboards, and regular business reviews, using data insights to prioritize, de-risk, and accelerate the roadmap. • Lead cross-functional execution with Engineering/ML/DS/Design to execute the roadmap, run rapid experiments, ship iterative improvements, and pivot based on learnings • Partner with ML, model design, and content design to improve core agent performance and behavior using state-of-the-art methods • Represent the product to senior leadership and external retail partners, communicating strategy, progress, learnings, and needs with clarity and conviction • Work with business development, market strategy, and GTM teams to align product and GTM plans, maximizing market impact of launches and product advancements • Scale Cart Assistant across Instacart surfaces and products, driving top line business impact for Instacart and our retail partners

• Set and own the product roadmap • Lead product discovery, uncover customer pain points • Drive measurable product adoption and engagement outcomes • Execute the roadmap with cross-functional teams • Partner with ML and design to improve agent performance • Represent the product to senior leadership and retail partners • Work with business and GTM teams to maximize market impact • Scale Cart Assistant across Instacart surfaces and products

• Set the strategy: Align UI investments with Confluent’s long term vision to put a data streaming platform at the center of every organization. • Define the roadmap: Plot a course with your engineering counterparts that will realize the strategy. • Understand our users: Conduct interviews and analyze usage data to define personas, user journeys, and key jobs to be done. • Work across teams: Create shared understanding and direction across engineering, product, business development, support, sales, and marketing teams within Confluent and externally with our partners. • Be responsible for the whole lifecycle: Drive multi-company, cross-functional initiatives from conception through initial delivery, and ongoing iteration after launch. • Close the loop: Define quantitative and qualitative targets, measure performance against them, share results with stakeholders, and incorporate those learnings into the next development cycle. • Manage complexity: Deliver value while handling the surprises and challenges of a quickly evolving product, ambitious partnership targets, and a rapidly growing organization.

• Own the NL2SQL initiative in close partnership with Research, laying the foundation for how structured data is ingested, productized, and scaled across the platform • Ensure core generative and RAG services are portable-ready, scalable, and designed to operate across deployment environments • Partner closely with our orchestration tool to ensure seamless compatibility, and extensibility across agent workflows • Define how we operationalize MCP (Model Context Protocol) to enable reliable, composable agentic workflows • Own the health, reliability, and evolution of our underlying RAG and generative services, including quality, performance, and long-term extensibility • Act as the connective tissue across Research, Platform, and Applications to unblock and accelerate customer-facing AI experiences • Provide clear ownership and direction for platform capabilities that all downstream AI products and customer experiences depend on • Lead agile ceremonies including refinement, roadmap reviews, sprint planning, and stand-ups • Ensure on-time delivery of product features, enhancements and improvements • Define use cases, set requirements and acceptance criteria for features, utilizing an iterative approach to allow for measurement of success and adoption, and prioritization of enhancements • Own your roadmap and set prioritization for feature delivery from technical teams by synthesizing market research, customer and prospect data, customer needs, and internal/external stakeholder expectations • Demonstrate full knowledge of the development process in your area of focus and at times be a key contributor and mindful guide to engineers and scientists on the team • Interact with customers and market thought leaders to develop a deep understanding and define product requirements and best practices for an enterprise business problem • Author product specifications, inclusive of use cases, and activity flow diagrams; identify data sources, analytics, reporting, and integration requirements • Collaborate with engineering, data science, and other support teams such as user experience, QA, and documentation to create exceptional solutions