Your CareerWe are seeking a Product Manager to lead the development and lifecycle management of AI products that can independently operate within predefined domains. This role will involve close collaboration with engineering, research, design, and GTM teams to develop and implement AI systems that can perform  decision-making, task management, and problem-solving across our Network Security Platform - Strata Cloud Manager.As Network Security AI PM, You will be responsible for driving the vision, strategy, and execution for the next gen network security platform,  defining product requirements, identifying opportunities, and ensuring responsible AI practices are followed. This role requires deep knowledge of Network Security, Automation, Machine learning, and product management, along with a passion for shaping the future of how NetSec admins do things.Your ImpactProduct Vision & Strategy Define and articulate the product vision and roadmap for AI system applications in Network Security, aligning with company goals and customer needsConduct market research to identify trends in  AI and competitive landscape, ensuring the product remains innovative and competitiveCollaborate with stakeholders to prioritize features, balancing user needs, technical feasibility, and business impactRequirements Gathering & DocumentationTranslate business goals and customer problems into product requirements, focusing on autonomy, self-learning capabilities, and task delegation featuresCreate detailed specifications and user stories that describe desired AI behaviors, decision-making protocols, and scope of independenceWork with engineering and data science teams to refine requirements, ensuring technical feasibility and responsible AI practicesCross-functional Collaboration  Partner with AI research, engineering, and design teams to guide the development of product features that enable NetSec admins to operate efficientlyCollaborate with legal, ethical, and compliance teams to establish safety, ethics, and transparency standards for  AI behaviorCoordinate with product marketing to position and launch  AI products in a way that highlights their value and safe usePerformance Monitoring & Optimization Define and monitor KPIs for AI agent performance, including decision accuracy, task completion rates, and user engagementAnalyze product data and feedback to iteratively improve behavior, automation, and alignment with user expectationsUse A/B testing, analytics, and user feedback to continuously refine  decision-making frameworks and responsivenessEthics & Responsible AI Practices Implement robust testing to ensure AI system operate responsibly and align with ethical standards, avoiding harmful or biased behaviorsDevelop contingency plans for AI failures or anomalies, ensuring appropriate human oversight and controlEducate internal and external stakeholders on the capabilities, limitations, and safety measures surrounding AIUser Experience & Feedback Loop Advocate for intuitive and transparent user experiences with AI, ensuring users understand and trust its actionsGather and synthesize feedback from customers and stakeholders, shaping product behavior and functionality to better meet user needsCommunicate product developments, updates, and limitations clearly to end-users, emphasizing transparency and user control
