AI-Driven Product Strategy: Develop and own the end-to-end lifecycle of cross-domain features. You will define the roadmap for AI operational simplicity, ensuring that agentic workflows contribute across the SASE stack.
Agentic Workflow Design: Architect and lead the lifecycle of intelligent, cross-domain AI agents to simplify complex network and security operations.
Lifecycle Ownership: Own the full product lifecycle—from conceptualization and AI model integration to production, release, and end-of-life—ensuring that intelligent features remain performant and relevant.
Central Coordination: Act as the central hub for engineering, data science, design, and marketing teams as you lead AI-enabled products through the development and distribution pipeline.
End-to-End Management: Provide continuous oversight throughout all product stages, including the improvement of agentic capabilities, maintenance of AI models, and platform upgrades.
Cross-Functional Collaboration: Facilitate deep technical alignment between engineering, business development, and customer support to bring autonomous, AI features to market.
Value Proposition: Articulate the strategic benefits of our agentic platform to internal teams, customers, and partners, identifying the tangible value of AI operational efficiency.
Performance Metrics: Define, monitor, and optimize key performance indicators specifically related to AI agent efficacy, cross-domain investigation speed, and overall system automation success.
Customer Adoption: Accelerate the adoption of intelligent features by identifying strategic investment opportunities and influencing channel partners to prioritize AI-ready infrastructure.