About this role
TRM Labs is seeking a remote Growth Lead for Consumer Fraud Reporting in the United States to protect and scale Chainabuse, an open consumer fraud reporting platform. This full-time position suits an independent growth expert ready to own the top of the funnel and drive vetted report submissions.
Role Overview
TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. In this sole-owner growth seat, the Growth Lead sets the strategy, runs marketing channels, builds partner integrations, and ships content with AI-assisted execution. The primary focus is increasing the volume of vetted, indexed reports flowing into Chainabuse and TRM Business Intelligence.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
TRM Labs builds AI-powered intelligence solutions that enable public and private sector agencies to investigate and disrupt crime. Backed by investors such as Goldman Sachs, Bessemer, Y Combinator, and Thoma Bravo, TRM is headquartered in San Francisco with a distributed-first team operating globally across major hubs.
How to Apply
Apply directly on the official TRM Labs careers page by reviewing the job description carefully and submitting thoughtful answers to the application questions along with your resume.
Questions candidates ask
What is the primary goal of the Growth Lead, Consumer Fraud Reporting?
The primary goal is to protect and grow Chainabuse by increasing the volume of vetted, indexed fraud reports flowing into the platform and TRM BI.
Is this position remote?
Yes, this role is based in the United States and operates within TRM's distributed-first work model.
What is the salary range for this role?
The estimated US base salary range is $170,000 to $200,000 per year, with potential eligibility to participate in TRM's equity plan.
What level of experience is required?
Candidates must have 5+ years of growth marketing experience, including scaling a consumer reporting, UGC-data, or community-data product.
How does TRM evaluate AI skills during the hiring process?
Applied AI fluency is a baseline expectation at TRM, and candidates are evaluated on how they use AI to accelerate repeatable workflows, structure problems, and improve output quality.
