- Become a core owner of Signals data products – help prioritize and vet new data sources and design their incorporation into our pipelines and platform
- Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems
- Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
- Investigate and resolve complex data quality issues independently
- Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations
- Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
- Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast
- Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
- Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible
PythonSQLDatabricks+2 more