Senior Product Manager, Threat Intelligence

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.

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, SOC analysts, and national security agencies who need to trace cyber actors, map threat infrastructure, 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.

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 driving what the product becomes — not handing off a problem statement and waiting. It's an iterative process, and customers are in the loop throughout.

Building: Ship in hours and days, not weeks or months. Build AI agents into the product and into your own workflow as a matter of course, not as an experiment. You write and ship code alongside engineers and the Product Cortex.

Closing: Be present in the deal. Lead demos, run scoping calls, surface product feedback from the field, and translate it into roadmap unlocks that make each deal closeable. Your seat at the table in a sales cycle isn't optional.

It's where you learn what to build next.

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 know what good looks like and you can define it precisely enough that others can execute it. Your instinct for what's worth building, and what isn't, is something you've earned, not assumed.

- Has led at least two complete product cycles from spec to launch in complex enterprise domains: security, fintech, intelligence, defense, or equivalent — owning the outcome end-to-end

- Experience building or shipping AI-powered products or workflows; already living in an AI-native workflow, not planning to start

- Demonstrated ability to ship in days; can walk through a real example

- Process PMs who manage the work rather than own the outcome

- Candidates who treat AI as something to "explore" — must already build agents as part of their job

- PMs who have never owned direct customer relationships or who rely on an analyst layer to do discovery

TRM's Product team operates as builders, not coordinators. Every PM owns outcomes end-to-end from the first customer conversation through post-launch adoption. We move fast: features are measured in days and weeks, not sprints and roadmap cycles.

AI is how we work, not just what we build. Every PM uses agents, builds workflows, and contributes reusable tools to the team's shared plugin library. Small team, high bar, visible impact.

Your work shows up directly in company ARR and in how investigators and analysts operate in the field.

- Interview a customer in the morning. Build a prototype using MagicPatterns and AI tooling by 3pm. Share it with the customer for feedback by EOD.

- Identify a high-priority signal on Monday. Spec finalized Tuesday. Engineering aligned Wednesday.

Launched Friday.

- Publish a plugin or skill to the TRM marketplace as a byproduct of your daily work, something you built to do your own job better, so the full team can leverage it within the same sprint.

THE FOLLOWING REPRESENTS THE EXPECTED RANGE OF COMPENSATION FOR THIS ROLE:

- Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.

- The estimated base salary range for this role is $195,000 - $208,000.

- Additionally, this role may be eligible to participate in TRM’s equity plan.

- Please note – we factor in the different costs for geographies outside the United States.