TRM Labs

• Bring new data products to market by expanding private sector accounts • Own the full sales motion across both expansion and new business • Partner closely with account owners and cross-functional teams • Collaborate with founder and product teams to iterate on messaging • Stay embedded in key accounts through renewals, workshops, and executive briefings

• Architect and implement a robust agentic framework that supports tool use, context retrieval, memory, and planning • Build intelligent, modular agents that automate investigative tasks and augment analyst decision-making • Extend and scale our LLM infrastructure (e.g. OpenAI, Anthropic, local models), including prompt engineering, RAG, and evaluation loops • Design safe, observable, and auditable agent behaviors — ensuring reliability in high-sensitivity environments • Evaluate performance across metrics like reasoning, latency, success rate, and hallucination, and iterate based on user feedback and system telemetry • Contribute to a culture of high ownership, rapid experimentation, and ethical AI deployment

• Build a high-velocity recruiting engine that efficiently identifies and recruits the best talent to TRM. • Manage the full recruiting lifecycle across a variety of roles and teams. • Create positive candidate experiences throughout every touchpoint. • Develop creative and impactful sourcing strategies that will help us find and hire a diverse and exceptional team. • Continuously improve our recruiting processes and increase the efficiency of our hiring.

• Work on complex engineering problems that help you build and hone not only technical skills but also project management and human/soft skills. • Develop and maintain public APIs that are part of the API Product suite • Collaborate with stakeholders on transforming a functional vision into a tangible roadmap with clear outcomes. • Support and enable internal business units through shared engineering services and functionalities. • Develop cross-functional relationships with stakeholders across the organization to understand and empower their mission from end to end.

• Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale • Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM • Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features • Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses • Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists • Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs

• Build a large-scale web application that manages billions of transactions using React and Redux • Collaborate with Backend Engineers, Designers, and Product to build features and ship product • Find and address performance issues • Participate in code and design reviews • Develop a deep understanding of crypto and blockchain to inform product design

• Build highly scalable features that integrate with dozens of blockchains. • Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. • You’ll work closely with product managers, data scientists, and customer-facing teams to deeply understand user needs and translate them into scalable data solutions.” • Our best engineers are also exceptional communicators. They write clear design docs, proactively share tradeoffs, and build alignment across disciplines. • Bonus: Experience with LLMs or AI-powered workflows (e.g., prompt engineering, internal tooling, semantic search).

• Build highly scalable features that integrate with dozens of blockchains. • Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. • Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products.

• Work on complex engineering problems that help you build and hone not only technical skills but also project management and human/soft skills • Develop and maintain public APIs that are part of the API Product suite • Collaborate with stakeholders on transforming a functional vision into a tangible roadmap with clear outcomes • Support and enable internal business units through shared engineering services and functionalities • Develop cross-functional relationships with stakeholders across the organization to understand and empower their mission from end to end

• Build and own a high-velocity talent pipeline, consistently generating qualified, cleared candidates for priority roles. • Run recruiting like a sales funnel, managing top-of-funnel sourcing through close, with a focus on conversion, speed, and quality. • Act as the primary closer for hard-to-hire, security-cleared candidates—overcoming objections, creating urgency, and driving offer acceptance. • Develop and execute targeted outreach campaigns, leveraging market intelligence and personalized messaging to engage passive talent. • Partner closely with hiring managers as a deal team, aligning on priorities, tradeoffs, and hiring strategy to hit aggressive goals. • Continuously optimize recruiting performance, using data and feedback to improve outreach effectiveness, funnel health, and time-to-close.