Compute Intelligence Engineer
You will build the data infrastructure and intelligence platform that provides a live view of compute supply, demand, utilization, capacity, and economics. You will establish the warehouse, develop production pipelines and data models, create dashboards and queryable data interfaces, and support cross-functional teams with reliable information.
Responsibilities
- Stand up the data warehouse and pipelines
- Build data models and transformations
- Create dashboards and reporting
- Build an AI-accessible query layer
- Track compute supply, commitments, capacity, and utilization
- Connect supply data to demand signals
- Support Growth, Compute Partnerships, and Research with shared data
- Establish data quality, documentation, and infrastructure standards
- Build reliable unattended pipelines
Requirements
- 3–7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles
- Data warehouse development and maintenance
- Production-quality Python and SQL pipelines
- Data modeling with dbt or equivalent
- API integrations
- Snowflake, BigQuery, or Databricks
- Airflow, Dagster, or equivalent orchestration tools
- BI and dashboarding tools
- Modern AI tooling
Benefits
- Meaningful equity
- Flexible work with remote or San Francisco options
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites and conferences