Jobs 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.

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.

Build and maintain the backend science platform powering causal experiment analysis: data pipelines from BigQuery, statistical estimation library, Metaflow orchestration on Kubernetes, monitoring and reliability, collaborate with applied scientists, publish results to product APIs, use AI-assisted developer tools, and participate in on-call rotation.

Build and maintain the backend science platform that runs geo-based experiments, data pipelines, statistical estimators, and Metaflow orchestration on Kubernetes. Collaborate with applied scientists to productionize research, ensure reliable daily analyses, add monitoring/alerting, publish results to product APIs, use AI-assisted development tools, and participate in on-call rotation to own operational health.

Build and evolve a production Flask + React platform powering ad-experimentation and causal-inference products. Own end-to-end features from API and migrations to frontend visualizations, integrate and harden ad-platform APIs, collaborate with scientists and data engineers, use AI dev tools to accelerate work, participate in on-call rotation, and improve architecture incrementally while shipping continuously.

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.