Product Manager - Agentic AI - Torq

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

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.

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