Teams at Haus.io

Lead architecture and technical direction for Haus's data ingestion and normalization platform. Design systems for schema evolution, data contracts, data quality, lineage, reproducible pipelines, and observability. Drive GCP/BigQuery/dbt decisions, mentor engineers, own incident response, and partner with data science and product to ensure reliable data foundations and AI-driven data-quality workflows.

Build and run outbound and inbound prospecting to generate qualified pipeline for AEs. Create sequences, use GTM tooling, qualify leads quickly, collaborate with Sales/RevOps/Marketing, and track performance metrics to iterate and scale the sales development function.

Own end-to-end customer onboardings for cMMM and GeoLift, run data onboarding calls, troubleshoot data and warehouse connections using SQL and Retool, file and track bug reports, collaborate with Product/Data/Science/Engineering, document processes, and apply AI tooling to automate recurring tasks.