Teams at SPINS

Lead client discovery for complex syndicated retail data deliveries, translate business needs into data specifications, recommend efficient delivery options, and coordinate follow-through through onboarding. Advise clients on data volume, cell counts, recurring feeds, and scope changes while partnering with Sales, Customer Success, Product, Marketing, and Data Governance. Support pre-sales conversations and develop enablement materials, talk tracks, FAQs, and decision trees. Maintain accurate client records and manage multiple concurrent engagements.

Designs, builds, and enhances a full-stack data platform covering data ingestion, ETL, big data processing, APIs, and web and mobile applications. Responsibilities include writing tested code, solving technical and data challenges, developing AI-integrated tools, transforming large datasets, and automating repetitive processes. The role also involves collaboration with Product and Design teams and participation in squad rotation.

Supports customer implementation, onboarding, and issue resolution for SPINS data products and applications. Partners with Retail, CPG, and account teams to configure solutions, analyze complex datasets, create reports, troubleshoot data issues, and maximize customer value. The role also develops internal tools and workflows, triages application and data-feed issues, and serves as a technical business partner to Customer Success and Sales teams.