• Define and own the product vision and roadmap for User Success platforms, including insights hubs, feedback systems, and AI-enabled decision tools • Translate organizational strategy into scalable product capabilities that improve how user insights inform product and business decisions • Identify and prioritize high-impact opportunities that accelerate the transition to an integrated, AI-powered product insights function • Drive long-term platform thinking, ensuring systems are extensible, interoperable, and aligned with future organizational needs • Build and scale systems that connect user research, behavioral analytics, and feedback into unified, actionable insights • Define product capabilities that enable continuous opportunity identification, prioritization, and impact tracking • Ensure clear pathways from insight generation → product decision → measurable outcome • Partner with teams to operationalize insights into roadmap prioritization, experimentation, and delivery • Lead the development of AI-powered capabilities (e.g., automated synthesis, feedback analysis, insight discovery, decision support tools) • Identify opportunities to leverage AI to increase the speed, scale, and quality of insight generation and activation • Ensure responsible, effective integration of AI into workflows, balancing automation with human judgment • Stay ahead of emerging technologies and evolving practices, translating them into practical product innovation • Partner closely with Research, Analytics, Growth, Engineering, and Design to deliver integrated solutions • Operate within cross-functional pods, aligning product direction with domain priorities and business goals • Drive alignment across stakeholders, ensuring shared understanding of priorities, trade-offs, and outcomes • Influence senior leaders by connecting product strategy to business impact and user value • Define and deliver data products that enable visibility into user behavior, sentiment, and product performance • Ensure systems are designed for scalability, usability, and adoption across diverse teams • Partner with engineering and data teams to build robust, reliable, and high-quality infrastructure • Establish clear success metrics and continuously optimize product performance • Create repeatable product processes that enable consistent, high-quality delivery across initiatives • Balance strategic thinking with execution rigor, ensuring timely and impactful delivery • Drive adoption of tools and systems across the organization through enablement and change management • Continuously improve how teams work, identifying inefficiencies and scaling best practices

• Support the roadmap for our Edge suite by defining the functional requirements that ensure security and performance are treated as foundational platform features. • Define the workflows that allow our platform to handle the operational friction of security—from automated WAF tuning to proactive DDoS mitigation—reducing manual effort for customers and engineers alike. • Partner with the broader team to ensure our Edge and Security features support customer growth. You will guide customers toward adopting the modern, AI-native protections that drive superior, high-availability user experiences. • Act as a "Context Contributor" within the team. Collaborate with peer PMs to build a shared library of technical context, allowing the team to use autonomous agents to scale security documentation and compliance tracking. • Translate high-level strategy into a prioritized functional backlog, ensuring that our security offerings are executed with precision, speed, and reliability.

• Lead the Unified Rollout: Own the go-to-market execution for our standardized platform architecture, ensuring the global field is equipped to drive expansion and modernization immediately. • Platform Transition Management: Manage high-stakes product lifecycle transitions for enterprise-grade solutions. You will maintain customer trust and business continuity while moving a global install base to modern, high-performance standards. • Lifecycle Value Alignment: Partner with Account Management and Success teams to ensure customers are consistently mapped to the platform capabilities that best support their growth. You will serve as a strategic guide during key transition points, ensuring customers have a clear path to adopting the modern, AI-native services that drive superior experiences for their end-users. • Agentic Collaboration: Act as a "Context Contributor" within the team. Collaborate with peer PMs to build a shared library of strategic context, allowing the team to use autonomous agents to scale pricing, documentation, and security modeling. • Accelerated Enablement: Leverage our agentic engine to drastically reduce the time it takes to produce market-facing collateral, turning roadmap milestones into commercial wins at an accelerated pace.

• Own one or more end‑to‑end workflows across the content supply chain. • Define workflow intent, outcomes, and value, not isolated features. • Ensure workflows are coherent across regions, brands, and operating models. • Define how Agentic AI agents orchestrate tasks across the workflow. • Reduce manual effort and handovers. • Enable adaptive, learning systems. • Specify human‑in‑the‑loop controls, governance and escalation points, compliance and trust requirements. • Partner with AI and Engineering teams to ensure feasibility. • Develop Core Product as a configurable platform and infrastructure layer, not a standalone product. • Define how core capabilities support AI‑driven workflows. • Ensure infrastructure decisions align with long‑term workflow evolution. • Define the implementation of end‑to‑end data flows across the workflow. • Identify and document integration requirements (internal and external).