Compute Intelligence Engineer

The role

You will build the data infrastructure and intelligence platform to provide a live picture of compute supply, demand, and economics. This involves standing up a data warehouse, writing pipelines, and creating dashboards for the company.

What you will do

• Stand up the data warehouse and pipelines for compute telemetry, billing, partner, and CRM data
• Build data models and transformations to create a trustworthy source of truth
• Build dashboards and reporting for compute supply, demand, utilization, and bottlenecks
• Build a queryable, AI-accessible layer on top of the warehouse
• Build data systems to track compute supply end-to-end
• Develop views and models to surface bottlenecks and upcoming supply
• Connect supply data to demand signals
• Partner with Growth, Compute Partnerships, and Research teams
• Build pipelines and systems that run unattended and fail gracefully
• Establish data quality, documentation, and infrastructure standards

Required qualifications

• 3–7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles
• Comfortable building and maintaining data warehouses
• Writing production-quality pipelines (Python, SQL)
• Modeling data (dbt or equivalent)
• Connecting disparate systems via APIs
• Experience with modern data stack tooling (Snowflake / BigQuery / Databricks, dbt, orchestration like Airflow or Dagster, and BI/dashboarding tools)
• Familiarity with modern AI tooling
• High ownership
• Comfortable in ambiguity and speed
• AI-native in how you work using LLMs, automation, and programmatic tools

Nice to have

• Experience as an early data hire who built a company's data infrastructure from scratch
• Familiarity with GPU economics, compute infrastructure, cloud telemetry, or AI/ML workloads
• Background in GTM engineering, growth engineering, or revenue/operations data
• Experience building LLM-powered or natural-language data interfaces
• Working knowledge of usage-based / consumption-based business models and the data they generate

Benefits

• Cash Compensation Range of $225-300k + meaningful equity
• Flexible work (remote or San Francisco)
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conferences

Before you apply

• Visa sponsorship and relocation support

About the company

Prime Intellect is building the open superintelligence stack, providing infrastructure for frontier AI labs. The company has raised $150M in total funding.