- Partner directly with customers to identify data challenges and design technical solutions, including configuring integrations and automating workflows.
- Deploy and optimize AI-powered tools and educate internal/external teams on prompt engineering and LLM best practices.
- Build and extend internal tooling like importers and parsers to improve platform reliability.
- Execute bespoke data operations, including custom SQL reports and backend queries for unique customer needs.
- Own API schemas, data ingestion, Snowflake data shares, and database connections.
- Identify repeatable customer patterns and translate them into product requirements for the Engineering team.
- Support internal engineering workflows by triaging quality-of-life bugs and enhancements.