• Act as Product Owner on a public sector project

• Define and Drive AI Detection Strategy • Develop and execute a multi-product strategy for AI-powered threat detections and protections • Scale Talos' proprietary AI and machine learning capabilities to stay ahead of sophisticated cyber threats and nation-state adversaries • Identify emerging threat trends and translate them into detection and protection capabilities across Cisco's security portfolio • Own the Product Lifecycle • Lead the end-to-end lifecycle of AI and ML detection engines and protection services • Define and measure success through coverage, efficacy, performance, adoption, and customer outcomes • Drive continuous innovation while balancing operational excellence and scalability • Drive Portfolio Integration • Lead the integration of Talos AI detections and protections across Cisco Security products and platforms • Create a unified intelligence-first customer experience across network, cloud, endpoint, identity, and AI security solutions • Partner across engineering, data science, product, and security teams to define common data models, telemetry requirements, and detection frameworks • Collaborate with ecosystem partners, SIEM, SOAR, and Cisco Cloud control and Security control platforms to maximize customer value • Lead Through Influence • Align stakeholders around strategic priorities, technical direction, and business outcomes and drive cross-functional execution across globally distributed teams • Establish Responsible AI Practices • Define standards for ethical, transparent, and resilient AI security solutions to ensure AI detection models are unbiased, explainable, secure, and resistant to adversarial attacks • Align products with global privacy, compliance, and data sovereignty requirements

• Develop a deep understanding of the market, competitive dynamics, and emerging trends • Own and evolve a 6–12 month roadmap for your product area • Translate stakeholder input and customer needs into structured initiatives and epics • Define and own the KPIs that measure product health and validate whether released features actually deliver value • Use AI tools as core tools in your daily work • Act as a central point of communication between Engineering and business-facing teams • Champion innovation within your product area • Manage Product Owners and mentor Product Managers • Contribute to the continuous improvement of product development practices

• Partner closely with key sales, customer success, and finance stakeholders to define, manage, and execute against prioritized roadmaps. • Lead complex, cross-functional initiatives end-to-end — from discovery through launch and ongoing optimization — while proactively identifying dependencies, risks, and trade-offs. • Set and manage stakeholder expectations through transparent communication, foresight, and data-driven decision-making. • Balance strong delivery execution with strategic perspective, challenging and evolving existing processes when they no longer serve outcomes. • Oversee a full-stack development team to produce stable and scalable solutions within the Salesforce ecosystem that meet all committed requirements. • Work with quality assurance to plan and implement testing to completely verify and validate all product capabilities as ready for release. • Build and sustain a strong partnership with your engineering manager and other engineering leaders. • Strengthen team performance and cohesion through effective agile leadership, continuous improvement, and intentional removal of blockers.