Primeintellect

Compute Intelligence Engineer

San Francisco

Sponsorship not specified$225k-$300kDetected 13 days ago

PythonFull-Stack DevelopmentSQLBigQuerySnowflakeDatabricksDatadogMachine LearningAirflowdbtData EngineeringLLMsCRMResearch

About the role

This is a builder-first role with a clear business purpose.
You'll be early in this seat, and the foundations you lay will be the data backbone the company scales on.

Build the Compute Intelligence Platform
Stand up Prime Intellect's data warehouse (Snowflake, BigQuery, or equivalent) and the pipelines that feed it - compute telemetry, billing and usage data, partner and supply data, CRM, and financial systems
Build the data models and transformations (dbt or equivalent) that turn raw data into a clean, queryable, trustworthy source of truth
Build dashboards and reporting that give the company a live picture of compute supply, demand, utilization, upcoming capacity, and bottlenecks
Build a queryable, AI-accessible layer on top of the warehouse so teams across the company can answer their own questions without going through a data analyst
Build the data systems that track our compute supply end-to-end: what we have, what's committed, what's coming online, and what's utilized vs. idle
Develop the views and models that surface where our bottlenecks are - and make upcoming supply legible to the teams that depend on it
Connect supply data to demand signals so the company can see, in one place, how capacity maps to what we're selling and building
Serve as the data backbone connecting Compute Partnerships, Growth, and Research - building the systems that let them operate from shared, accurate information
Partner with Growth on understanding upcoming supply and how it maps to what they can sell

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
Experience with modern data stack tooling - Snowflake / BigQuery / Databricks, dbt, orchestration (Airflow, Dagster, etc.), and BI/dashboarding tools

Comfortable being the data backbone for cross-functional teams - translating between business needs and the systems that serve them
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
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
Cash Compensation Range of $225-300k + meaningful equity
Flexible work (remote or San Francisco)
Visa sponsorship and relocation support
Professional development budget

This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.