Product Manager - Agentic AI

Skeletons, lasers, tattoo buses — the Torq brand grabs attention like nothing else in cybersecurity. And we're growing like crazy, backed by Series D funding, 200% employee growth, and 300% revenue growth. Fueling Torq's momentum is our game-changing AI SOC platform, backed by a team and culture that makes Torq one of Forbes' Best Startup Employers in America, and a Business Insider 'startup to bet your career on'.

Life at Torq is all gas, no brakes. We're a team of relentless, collaborative go-getters pushing the boundaries of what's possible for security automation. Every role is an essential driver of Torq's success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500.

About the Role

We are looking for an AI-savvy Product Manager to join Torq as we continue expanding and exploring the hottest intersection in the security market: agentic AI and SecOps. The ideal candidate will have both experience in at least one SOC-adjacent domain (threat intelligence, SecOps, hunting, incident response…) and strong understanding of agentic AI.

You'll own parts of Torq's agentic platform: where agents are managed, how they interact with users, and how they can help SOCs to reduce system-critical metrics and overall threat exposure.

What You'll Be Doing

• Lead critical parts of Torq's agentic platform to help drive forward adoption and innovation across the full lifecycle - from UX to prompt engineering
• Become an expert in Torq's AI SOC offering and in Torq's Platform as a whole
• Represent the customer's voice inside Torq to ensure we're staying on the critical path
• Work closely with Torq's top-notch engineering teams to deliver product capabilities and stay on top of state-of-the-art AI trends
• Analyze product data - from classic product analytics to AI evaluations of usage patterns - to proactively bubble up user needs or issues
  
  

• Has 3-5 years of product management experience
• Possesses a strong understanding of agentic / LLM products - from UX to the technical LLM engineering stack
• Spent at least 2 years working in the cybersecurity market, ideally in a SOC-adjacent space (SecOps, incident response, threat intelligence, threat hunting)
• Extensively worked with automation products and APIs - can look under the hood and understand systems and architecture
• Data-driven, with the ability to ask the right questions
• Superb English speaking and writing skills