• Become a subject matter expert on traffic logs and analytics use cases across our customer segments • Develop hypotheses and execute rigorous research around customer problems and deliver robust root cause analysis • Use financial and engineering context to describe the total opportunity size (and business impact/ROI) of proposed product improvements; make synthesized recommendations on which customer problems to prioritize based on opportunity size • Lead product requirements, program milestones, and launch planning, particularly when it comes to transitioning customers off of old products and APIs in favor of modernized versions. • Document ideas and research quickly for review and iteration from your teams, to support our remote-first environment • Collaborate with adjacent product managers in the Channels Data team to connect and orchestrate data features across the domain.

• Develop, debug and support ETL processes utilizing AWS services • Lead ideation and development of data models used for data science and analytics • Meet the delivery expectations of the Agile Project Management methodology • Maintain and optimize reports and extracts that serve as lifesaving information sources to customers • Create clear and concise documentation regarding technical solutions, while sharing knowledge and documentation with teammates via “Lunch and Learns” • Collaborate with internal and external customers to deliver modern data products • Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing) • Identify repetitive tasks and partner with team leads to implement scalable automation solutions

• You will serve two primary functions: (1) designing, building, and maintaining scalable data pipelines and infrastructure to help the Economics and Executive Leadership teams make informed, data-driven decisions, and (2) building and maintaining production economics applications. • You will work on a wide array of blockchain economics projects, analyses, and systems, including: • Designing novel mechanisms and incentive schemes • Building data pipelines, models, and simulations to evaluate investment opportunities • Designing and parameterizing economics systems • Optimizing parameters for production applications • Contributing to the design of Economics programs and applications • You will optimize network incentives and systems by engaging directly with the Economics, Product, Engineering, Research, and Data Science teams to understand network dynamics at the deepest level. • You will meticulously operationalize processes, and coordinate cross-functionally to implement them.

• Define and own the architecture for cloud-based data solutions, ensuring scalability, reliability, and high availability • Lead data architecture discussions and collaborate closely with engineering, product, ML, and cross-functional stakeholders • Design, build, and maintain production datastores supporting high-speed, high-volume industrial IoT and telematics data • Translate business and product requirements into conceptual, logical, and physical data models • Drive best practices for data reliability, performance tuning, partitioning, indexing, and data quality • Analyze how customers and systems use data, identify inefficiencies, and propose architectural improvements • Coach and mentor engineers on data architecture best practices through design reviews, code reviews, and technical guidance • Clearly explain complex technical solutions to both technical and non-technical audiences, including leadership