Jobs at Haus.io

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.

Build and maintain the backend science platform: data pipelines from BigQuery, statistical estimation library, Metaflow orchestration on Kubernetes. Translate research into production, ensure reliability, monitoring, and observability, publish results to product APIs, use AI-assisted tools, and participate in on-call rotation.

Build and evolve a production Flask + React platform powering geo-based ad experiments. Own end-to-end features from API and DB migrations to frontend visualizations, integrations with ad platforms, monitoring, and on-call support. Collaborate with scientists and data engineers to translate statistical outputs into actionable product experiences, improve architecture incrementally, and use AI development tools to accelerate delivery.

Lead architecture and technical direction for Haus's data ingestion and normalization platform. Design schema evolution, data contracts, DQ frameworks, lineage, reproducibility, and observability in a GCP/BigQuery/dbt stack. Mentor engineers, drive cross-team design decisions, own incident response, and implement AI agentic workflows for data quality and analytics.