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As the Lead Solutions Architect, you will manage client relationships by delivering technical excellence and guiding clients through the implementation of TRM's blockchain intelligence platform. You will lead a team and oversee client integrations, ensuring strong outcomes and customer satisfaction.

As a Staff Engineer on the Data Platform team at TRM, you will be responsible for building highly reliable data services, developing complex ETL pipelines, designing intricate data models, and collaborating across departments to enhance TRM's products.

As a Full-Stack Engineer at TRM, you will build and maintain scalable software solutions and APIs. You will collaborate with stakeholders to transform functional visions into tangible outcomes, design backend APIs, and work on engineering problems that enhance both technical and project management skills. Your role will be pivotal in creating impactful features that contribute to a safer financial system.

As a Senior or Staff Software Engineer on the Data Product team, you will design and build scalable data services that analyze blockchain transactions at a petabyte scale. You will collaborate with data scientists and engineers to create data models that enhance TRM's products.

As a Technical Sourcer at TRM Labs, you will identify and attract top talent for technical roles by executing innovative sourcing strategies, conducting targeted outreach, and collaborating with hiring managers to align with company goals. You will utilize data to inform sourcing processes and maintain a strong pipeline of candidates.

As a Senior Technical Sourcer at TRM, you will be responsible for sourcing efforts for the R&D teams, developing creative strategies to attract top technical talent, expanding reach to diverse communities, ensuring positive candidate experiences, and improving recruiting processes.

As a Senior Engineer on the Core Data team, you'll design and build a Cloud Data Warehouse focused on incremental updates, develop ETL pipelines for petabytes of data, and collaborate to improve data processing and infrastructure scalability and efficiency.