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