Product Management Lead, AI

Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries. Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you! Role Overview Magnet Forensics is building the next generation of AI-native, agentic capabilities across our digital forensics and incident response (DFIR) portfolio. This role is your opportunity to define and ship agentic experiences that change how investigators, examiners, and analysts do their most important work. As Product Management Lead, Agentic AI, you will drive the strategy and execution for agentic product experiences across the Magnet portfolio. You will turn fast-moving AI capabilities into trusted, governed products across the entire Magnet One platform that delivers measurable value, partnering closely with customers, engineering, design, data science, and go-to-market teams. You have already built agentic experiences elsewhere, and you will help us do the same here, at the scale and trust bar that forensic work demands. This is a high-impact individual contributor role for a builder who is energized by frontier AI, comfortable with ambiguity, and focused on adoption, growth, and outcomes that show up in the data.