Senior Product Manager, Threat Intelligence

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. TRM Labs is building the global standard for investigations. We're looking for a Senior Product Manager who understands that this role is not coordination. It's ownership. Your job is to enable, capture, and expand ARR. You do that by moving through four stages: Pathfinding, Shaping, Building, and Closing. Each stage has different owners and partners who optimize for their local maximum. You are the thread across all of them, thinking and acting like a general manager: relentlessly pursuing the outcome, activating others or doing it yourself. PMs at TRM hold a lever no one else does — the ability to change what the product does. Sales can sell what exists. CS can support what was built. Marketing can amplify what's launched. Only you can build the thing that makes the deal closeable, the trial stick, or the expansion obvious. What you'll own You'll own TRM's cyber threat intelligence solution, serving analysts and investigators across both public and private sectors. Your customers are threat intel teams, [... source excerpt omitted ...] astructure, and connect disparate signals to the adversaries behind them. The investigations are high-stakes: ransomware, state-sponsored attacks, critical infrastructure threats. You'll build the capabilities that make TRM the platform analysts reach for first. How you’ll work Pathfinding: Get in front of customers before there's anything to show them. Surface the problems they can't fully articulate, in domains where the stakes are real: financial crime, intelligence, national security. Turn a morning conversation into a same-day spec. Shaping: Translate customer insight into a solution with your hands on it. You're prototyping, iterating with designers, and actively drivi [... source excerpt omitted ...] ycle isn't optional. It's where you learn what to build next. What we're looking for Curiosity: You go deeper than the feature request. You run discovery to find the problem the customer didn't name, in a domain where context is everything and surface-level listening fails. Bias for action: You ship a working V1 and iterate. You don't wait for perfect information. You can walk us through a real example where you moved faster than the org expected and it paid off. AI systems dialed in: You already build agents and live in an AI-native workflow. You can demo it. You're not planning to start — you started. At TRM, this is table stakes, not a differentiator. Product taste: You k