• Growth strategy for AI — where we play, who we sell to, how we win, and the sequencing of bets that gets us there • The customer and buyer motion — being in front of inference platform teams, data platform leads, and the buyers who decide • Positioning and narrative — partnering with Marketing on how the AI stories land in market • Field partnership — building the assets sellers actually use • Pricing and packaging — how AIStor and MemKV are sold • Competitive intelligence — knowing the AI training inference competitive landscape • Partner GTM for AI — the AI ecosystem is partner-heavy • Influence on the product — through customer signal, pipeline data, and competitive insight

• Own the roadmap and execution for one or more CAD workflows such as call intake, unit recommendations, dispatch operations, real-time incident management, or situational awareness capabilities. • Partner closely with your engineering team to deliver reliable, responsive, and scalable web-based experiences for dispatchers and field personnel. • Work directly with customers including dispatchers, supervisors, command staff, and technology leaders to understand operational pain points and translate them into product improvements. • Define requirements and product strategy for AI-driven capabilities that improve call triage, recommendations, information retrieval, and operational decision-making. • Collaborate with engineering teams building real-time video streaming and multimedia capabilities that help agencies access critical information during active incidents. • Leverage product analytics and operational data to identify trends, measure customer outcomes, and prioritize investments that improve agency performance. • Collaborate with sales, implementation, and go-to-market teams to support new launches and customer adoption. • Prioritize and refine the product backlog using customer feedback, operational insights, analytics, and business goals. • Balance new feature development with the operational work required to improve system performance, resiliency, scalability, and usability in mission-critical environments.

• Own the product vision, strategy, and roadmap for Scripta's member and provider apps. • Champion the end-user experience — driving usability, accessibility, and design quality across both apps. • Design and refine product workflows and user flows that make complex member and provider tasks simple and intuitive. • Conduct market, competitive, and user research to identify opportunities and trends. • Gather, synthesize, and prioritize requirements from members, providers, and internal stakeholders. • Partner closely with UX designers and engineering to ship intuitive, high-quality front-end experiences. • Collaborate with UX designers on user testing and usability studies, turning research into product improvements. • Leverage AI tools to accelerate research, prototyping, workflow design, and day-to-day product work. • Define KPIs — including engagement, adoption, and satisfaction metrics — and track performance against them. • Manage the product backlog and prioritize features. • Use data and qualitative insight to drive decisions on product development and enhancements. • Develop and execute go-to-market strategies for new launches. • Create clear, compelling product messaging and positioning. • Partner with content designers to develop GTM messaging, in-product content, and marketing collateral — presentations, one-pagers, and website content. • Partner with marketing to build and run campaigns, including marketing automation. • Deliver product demos and enablement for sales and support teams. • Manage launch timelines, resources, and cross-functional communication.

• Define and execute the product vision, strategy, and roadmap for Stacks and project context experiences within Dropbox. • Clarify the relationship between folders, Stacks, Spaces, projects, Home, AI/chat experiences, and collaborative workflows to create a cohesive user mental model. • Build intelligent project context experiences that bring together Dropbox content, third-party references, comments, tasks, activity, status, versions, and AI-generated summaries in trusted workspaces. • Partner cross-functionally with Engineering, Design, Search, Connectors, Sharing, Platform, and AI teams to deliver scalable and intuitive user experiences. • Define onboarding flows, naming systems, promotion paths, and interaction patterns that help users understand when and why to use Stacks. • Establish product quality bars, experimentation frameworks, learning goals, and success metrics for early design partner programs and broader rollout strategies. • Translate complex technical tradeoffs around retrieval, permissions, freshness, connector reliability, and model behavior into clear product decisions that maintain user trust and simplicity.