About the Role

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, and executive stakeholders.
• Partner with agentic platform engineering on agent infrastructure: LLM cost optimization, latency budgets, multi-tenant isolation, and scaling agent workloads across management planes.
• Present product updates and strategies to stakeholders.
• Monitor product performance and make data-driven decisions for improvement.

 

Qualifications

Mandatory:

• 10+ years of work experience in the Software/IT industry is mandatory.
• 7+ years of Product Management experience is mandatory.
• Demonstrated understanding of SOC workflows: alert triage, incident investigation, threat hunting, detection engineering, and incident response. You should be able to describe what an L1 analyst does differently from an L3 threat hunter.
• Working knowledge of modern AI/ML agent architectures - you don't need to write code, but you should understand concepts like multi-step agent workflows, tool use, prompt engineering, RAG, and the tradeoffs between autonomous and human-in-the-loop agent designs.
• Hands-on product instincts - you do UAT, run live demos, review investigation outputs, challenge prompt designs, and write detailed acceptance criteria. 
• Experience representing the customer: building relationships with security practitioners, running SOC ride-alongs, and translating analyst pain into product requirements.
• Track record of shipping products in fast-paced environments with overlapping workstreams and ambiguity.

 

Desirable:

• 5+ years of experience building or product managing cyber-security products is desirable.
• Experience building AI-powered products that went to production - not prototypes or demos. You've dealt with LLM hallucination, cost management, latency constraints, and quality measurement at scale.
• Familiarity with the MITRE ATT&CK framework, common detection rule formats, and how SOC teams operationalize threat intelligence.
• Experience with security data pipelines: event ingestion, alert correlation, enrichment, and the data challenges of multi-tenant security platforms.
• Previous experience in a technical role (security engineering, detection engineering, solution architecture, or SOC analyst) before moving into product management.

 

Skills

• Analytical rigor: You define success metrics before building, measure agent quality empirically, and make decisions with data. You can read a confusion matrix and explain why precision matters more than recall for autonomous remediation actions.
• Technical communication: You can whiteboard an agent workflow architecture with engineering, explain risk scoring methodology to a CISO, and write a crisp PRD that an L1 analyst would validate as accurate to their daily workflow.
• Security domain depth: You think in terms of attack paths, blast radius, lateral movement, and dwell time - not just features and user stories.
• AI product judgment: You have good instincts for when an LLM will perform well vs. poorly, when to use deterministic logic vs. AI reasoning, and how to design graceful fallbacks when agent confidence is low.
• Cross-functional influence: You lead through clarity and conviction, not authority. You can align engineering, design, sales, and executive stakeholders around a shared vision.
• Self-directed execution: You thrive in ambiguity, break down complex problems, and ship iteratively without waiting for perfect information.

 

Education & Travel

• BS/BA in Computer Science, Cybersecurity, or related technical field required. MS or MBA preferred.
• Ability to travel up to 25% (domestic and international for customer visits, SOC ride-alongs, and industry events).

Benefits

• Competitive salary and benefits package.
• Opportunity to define a new category at the intersection of AI agents and security operations - this is not incremental feature work.
• Direct impact on how security teams worldwide detect and respond to threats.
• Collaborative, engineering-driven culture where PMs are expected to go deep on technology.

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