Remote Compute Intelligence Platform Engineer

Prime Intellect; San Francisco, Northern (CA, KY); Hybrid; USD 225,000 - 300,000; Full time

Benefits offered by this job

Visa sponsorship and relocation

Job summary

Prime Intellect is building the open superintelligence stack. As Compute Intelligence Engineer, you will create the data backbone that provides a live view of our compute supply, demand, and bottlenecks.

You’ll stand up a data warehouse, write pipelines, and model data for a trustworthy source of truth used across the company. By building dashboards and an AI-friendly query layer, you’ll enable others to answer questions without a data analyst.

Qualifications

• 3–7+ years in data engineering, analytics engineering, GTM/growth engineering, or similar roles where you’ve built data infrastructure that served real business outcomes.
• Strong technical skills: comfortable building and maintaining data warehouses, writing production-quality pipelines (Python, SQL), modeling data (dbt or equivalent), and connecting disparate systems via APIs.
• Experience with modern data stack tooling — Snowflake/BigQuery/Databricks, dbt, orchestration (Airflow, Dagster, etc.), and BI/dashboarding tools
• A builder’s instinct paired with business judgment — you don’t just build what’s asked; you understand the business well enough to build the right thing
• Comfortable being the data backbone for cross-functional teams — translating between business needs and the systems that serve them
• Familiarity with modern AI tooling and an interest in building AI-accessible data layers (natural-language querying, LLM-powered analytics) that let non-technical teams self-serve
• High ownership — you see gaps and build the fix before anyone asks
• Comfortable in ambiguity and speed; you’ll be defining what the data layer looks like from scratch
• AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

Responsibilities

• Build the Compute Intelligence Platform by standing up the data warehouse and feeding it with telemetry, billing, partner data, CRM, and financial systems.
• Create data models and transformations (dbt) to provide a clean, queryable source of truth.
• Develop dashboards and reporting showing live compute supply, demand, utilization, capacity, and bottlenecks.
• Build a queryable, AI-accessible layer on top of the warehouse for cross-team self-serve analytics.
• Construct end-to-end data systems tracking compute supply, commitments, and utilization vs idle.
• Connect supply data to demand signals so capacity maps to what we’re selling and building.
• Serve as the data backbone linking Compute Partnerships, Growth, and Research with shared accurate information.
• Partner with Growth on upcoming supply and mapping to sales opportunities.
• Partner with Research on scaling needs and capacity planning.
• Establish data quality, documentation, and infrastructure standards; ensure security with Engineering.

Skills

Data engineering

SQL

Python

dbt

APIs

ETL pipelines

Data modeling

Data warehousing

BI dashboards

Tools

Snowflake

BigQuery

Databricks

dbt

Airflow

Dagster

Power BI

Tableau

Job description

Prime Intellect is building the open superintelligence stack. As Compute Intelligence Engineer, you will create the data backbone that provides a live view of our compute supply, demand, and bottlenecks.

You’ll stand up a data warehouse, write pipelines, and model data for a trustworthy source of truth used across the company. By building dashboards and an AI-friendly query layer, you’ll enable others to answer questions without a data analyst.