Director of Product Management, Platform & AI

Now generally available Gurucul AI Risk and Response is here. Read the launch announcement Director of Product Management, Platform & AI
Careers / Product, Engineering and Development

As the threat of autonomous attacks and rogue agents grows, security teams are rushing to adapt. Right now they are deciding how much work to hand to AI, and what it takes to trust an AI’s conclusion before it acts. Gurucul has spent more than a decade on the groundwork for that trust: learning how users, systems, and now AI agents normally behave, and showing the evidence when behavior changes.

We were early to market with an AI SOC solution that supports analysts at every stage of the lifecycle. We helped pioneer user and entity behavior analytics (UEBA), and we’re a Leader in the 2025 Gartner® Magic Quadrant™ for SIEM. This is all unified by a platform that connects SIEM, Insider Risk Management, and AI Risk and Response, with AI agents embedded into the workflows.

You’ll own the AI platform under every Gurucul product: the models, agents, and evidence that SIEM, Insider Risk Management, and AI Risk and Response build on, and every way people and other systems reach them. Some customers will work in their own AI Consoles. Others will want Gurucul’s detections, investigations, and actions inside the AI tools and workflows they already run, through APIs and MCP.

You’ll decide where we invest and take this through execution and deployment, working closely with our customers. This is the biggest area for innovation in security and you’ll be at the center of it. You’ll work closely with colleagues across multiple time zones, requiring flexibility in working hours and comfort operating in a distributed organization.

In this role, you’ll be both a hands-on product leader and an organizational leader, initially driving the platform directly and, over time, managing and coaching product managers and product owners. You’ll report to our VP of Product Management and work across Engineering, Research, UX, and the product teams. This role suits someone who has led a platform through a major change in how customers used it, and who can make hard calls before the market settles.

Those calls will shape Gurucul for years, and you’ll explain them to customers, analysts, and industry audiences.

• Set AI platform strategy across SIEM, Insider Risk Management, and AI Risk and Response. Decide which capabilities belong in the shared platform and which belong to one product, and make investment calls on customer value, differentiation, effort, and risk.
• Define how Behavioral AI, deterministic detections, Unified Entity Intelligence, LLMs, and agents work together. Set priorities for prediction and prevention, and be explicit about what the platform can infer, what it can stop, and when a person must approve the action.
• Own the business case. Work with Product Marketing, Sales, and Finance on positioning, pricing, packaging, and launches, including how to price AI capabilities used through APIs and agents. Track adoption, customer outcomes, revenue contribution, and the cost of running AI features.

• Own the AI Console with UX and Engineering: how people ask questions, inspect evidence, direct agents, approve actions, and recover from mistakes. Measure whether people finish the work with less effort.
• Set direction for APIs and Model Context Protocol (MCP) integrations, covering both Gurucul agents that call external tools and external AI systems that call Gurucul. Define use cases, permissions, tenant boundaries, approval rules, and audit trails so a capability behaves the same…