Compute Intelligence Engineer

Highlights

• Build the live intelligence platform for all company compute supply and demand.
• Turn scattered spreadsheets and telemetry into a trusted source of truth.
• Power capacity planning for frontier-scale training and partnerships.

What they offer

• Meaningful equity
• Flexible work (remote or San Francisco)
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conferences

Ideal candidate

High-ownership builder who loves turning ambiguity into trusted systems and partnering across teams. You care about business impact, move fast with AI-native workflows, and want to own foundational data infrastructure.

Requirements

• 3-7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles building data infrastructure for business outcomes
• Comfortable building and maintaining data warehouses and production-quality pipelines (Python, SQL)
• Experience modeling data with dbt or equivalent and connecting disparate systems via APIs
• Experience with modern data stack: Snowflake / BigQuery / Databricks, orchestration (Airflow, Dagster), and BI/dashboarding tools
• Builder's instinct with business judgment - build the right thing, not just what's asked
• Comfortable being data backbone for cross-functional teams and translating business needs to systems
• Familiarity with modern AI tooling and AI-accessible data layers for self-serve analytics
• High ownership, comfortable in ambiguity and speed, AI-native way of working