TRM Labs jobs

Growth Lead for Beacon Network at TRM Labs, a fintech/crypto compliance intelligence platform. Role owns top-of-funnel member acquisition across exchanges and financial institutions, engagement loops, event programming, and category visibility. Requires 5+ years marketing experience, AI fluency, and fraud/compliance domain knowledge. Remote-eligible, series-stage growth company, but core function is GTM and community management, not software engineering.

Growth Lead role at TRM Labs focusing on scaling Chainabuse, a consumer fraud reporting platform. Responsibilities include channel marketing strategy (SEO, content, paid, social), partner integrations, and community building to drive vetted report submissions. Requires 5+ years growth marketing experience, AI fluency, SEO expertise, and demonstrated integration-shipping track record. Remote, US-based.

TRM Labs, an AI-powered intelligence platform helping agencies investigate and disrupt crime, seeks a Solutions Integration Engineer to deliver technical excellence and strategic guidance on the Solutions Architect team. You'll own end-to-end client implementations—from understanding requirements and designing business processes to customizing the platform, integrating APIs, and conducting training—while acting as the technical consultant during discovery and demonstrating TRM's architecture to prospects and clients. Required experience includes proven collaboration with engineering and product teams to customize API-based SaaS products at scale, scripting proficiency in Python, JavaScript, or TypeScript for building proofs-of-concept, strong problem-solving and independent task management, and high initiative. AI development experience is a strong bonus. The role is fully remote within a globally distributed Solutions Architect team, with core collaboration hours 8am–5pm EST, and operates in TRM's high-velocity, mission-driven culture where priorities shift quickly and ownership is paramount; TRM is Series C–funded ($220M) with offices across San Francisco, Los Angeles, New York, Washington D.C., London, and Singapore. A concrete stand-out: AI fluency is a baseline expectation—you'll be evaluated on how you apply AI to accelerate workflows, structure problems, and improve output quality, expected to rank in the top 10 percent of operators in your function.

Senior Product Manager, Financial Institutions at TRM Labs, US remote position. Role involves building product roadmap for compliance and AML suite serving banks and fintech firms on blockchain infrastructure. Requires pathfinding, shaping, building, and closing ownership across customer discovery, design iteration, code shipping, and sales cycles. R&D-focused but pure product management function, not engineering.

TRM Labs, an AI-powered intelligence platform helping agencies investigate financial crime, seeks a Senior Software Engineer for its Data Platform team to build highly available data services that process blockchain transactions at petabyte scale. You'll develop complex ETL pipelines, design data models for sub-second query latency, and oversee large database cluster deployments while collaborating with data scientists, backend engineers, and product managers. The role requires a Bachelor's degree in Computer Science or equivalent plus 5+ years architecting distributed systems from ideation to production, with demonstrated expertise in Python, SQL/SparkSQL, data stores (Iceberg, Trino, BigQuery, StarRocks, Citus), orchestration tools (Airflow, DBT), and streaming technologies (Spark, Kafka, Flink). TRM is a Series C company backed by Goldman Sachs, Bessemer Ventures, and others, operating as a distributed-first organization with hubs across San Francisco, New York, London, and Singapore; the Data Platform team emphasizes async communication, rapid iteration (thinking in weeks not months), and limiting IC meetings to 3-4 hours per week. The company moves with exceptional velocity and expects high ownership, adaptability, and comfort with ambiguity—this is a mission-driven, intense environment that rewards urgency and creative problem-solving but explicitly acknowledges it's not suited for those optimizing for predictability or balanced workloads.