• Lead 0-to-1 product development for a new AI-native grid resilience product, from earliest problem framing through to first version shipped and used by customers. • Decide what to build (and just as importantly, what not to) by combining customer discovery, AI feasibility, and Overstory's broader vision. • Design and ship agentic, AI-native workflows in tight loops with engineering and design, favoring prototypes, evaluations, and live customer reactions over long specs. • Define the success metrics for this new area, set what "good" looks like, and hold the team honest as we iterate. • Communicate clearly and frequently with the broader Overstory team, making the bets visible, the learnings shareable, and the trade-offs explicit. • Contribute to the broader product strategy at Overstory as we figure out how this new area connects to, and reinforces, the core product

• Define and execute the short- and long-term roadmap for the notifications strategy, balancing business needs with technical excellence; • Establish policies and rules for Notifications and lead governance on this topic across the company; • Create prioritization rules and contact pressure limits to ensure a healthy user experience and avoid notification churn; • Identify channel opportunities to reduce acquisition cost and increase Lifetime Value (LTV), contributing to the development of intelligent engagement journeys; • Monitor critical KPIs such as delivery rate, CTR, attributed conversion, and the impact on notification opt-outs; • Transform the current notifications platform into an intelligent channel orchestrator.

• 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.