About the Role

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately levelled based upon their skills and experience.

We are hiring a Principal Product Manager to lead product strategy for AI-powered agentic security operations at Netskope. This role sits at the intersection of applied AI and security operations where you will own the vision and roadmap for autonomous AI agents that investigate threats, perform security operations tasks, and orchestrate incident response across the Netskope Security Platform. The ideal candidate combines deep security operations domain expertise with genuine fluency in how modern AI agent systems work.

 

Responsibilities

• Define the product vision and roadmap for agentic security operations, expanding from DLP incident management into risk investigation, threat hunting, policy recommendations, and autonomous response.
• Gather and prioritize product requirements and user stories. Identify which security workflows are best suited for full autonomy vs. human-in-the-loop agent assistance vs. traditional automation - and draw those boundaries clearly.
• Own the end-to-end product lifecycle for agentic workflows: from agent design through prompt engineering, investigation quality benchmarking, UX design, launch, and post-launch optimization.
• Gather and prioritize requirements through direct customer engagement, SOC ride-alongs, field team feedback, and production agent performance data (accuracy, risk score calibration, false positive rates).
• Collaborate with UX to design the analyst-agent interaction model: how investigations are presented, how analysts provide feedback, how trust is built through transparency into agent reasoning.
• Collaborate with engineering, design, and marketing teams to deliver successful product launches. 
• Partner with engineering to evaluate and improve agent investigation quality - running evals to improve the accuracy, reliability, and safety of agents, tuning investigation workflows, and defining quality benchmarks for risk assessments, recommended actions, and incident summaries.
• Define success metrics for agent performance: accuracy, risk score precision, time-to-resolution improvements, and cost-per-investigation.
• Act as the primary product voice for agentic security operations across the organization - translating complex AI/agent capabilities into customer value for sales, marketing, a