Prime Intellect

1 month ago

Compute Intelligence Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Build and operate the data infrastructure and intelligence platform that provides a live, single source of truth for Prime Intellect’s compute — mapping supply, demand, capacity, and bottlenecks to business outcomes. You’ll stand up the data warehouse, craft pipelines, model data, and deliver dashboards and AI-assisted self-serve data access for multiple teams.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build the Compute Intelligence Platform: Stand up data warehouse (Snowflake, BigQuery, or equivalent) and pipelines feeding it (compute telemetry, billing and usage data, partner and supply data, CRM, and financial systems).
•Build the data models and transformations (dbt or equivalent) to create a clean, queryable source of truth.
•Build dashboards and reporting that provide a live view of compute supply, demand, utilization, capacity, and bottlenecks.
•Build a queryable, AI-accessible layer on top of the warehouse for self-serve queries across teams.

Pay and Benefits

Salary: USD 225,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Remote WorkVisa SponsorshipRelocationLearning BudgetOff-sitesEquity

Key Requirements

•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.

Experience:3-7 yearsAIData engineeringGTM engineeringGrowth engineering

Skills:PythonSQLDbtAirflowDagsterBigQuerySnowflakeDatabricksAPIsBIDashboardsLLMs

Languages:English

Tech Stack:PythonSQLSnowflakeBigQueryDatabricksDbtAirflowDagsterBILLMAPIs

Company Brief

Prime Intellect

Builds a decentralized, open compute and training platform that enables distributed training and collective ownership of AI models, aggregating global GPU resources and offering tools for agentic RL and model evaluation.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn

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Prime Intellect

1 month ago

Compute Intelligence Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build the Compute Intelligence Platform: Stand up data warehouse (Snowflake, BigQuery, or equivalent) and pipelines feeding it (compute telemetry, billing and usage data, partner and supply data, CRM, and financial systems).
•Build the data models and transformations (dbt or equivalent) to create a clean, queryable source of truth.
•Build dashboards and reporting that provide a live view of compute supply, demand, utilization, capacity, and bottlenecks.
•Build a queryable, AI-accessible layer on top of the warehouse for self-serve queries across teams.

Pay and Benefits

Salary: USD 225,000 - 300,000 annually

Equity and Bonus:Equity

Perks:Remote WorkVisa SponsorshipRelocationLearning BudgetOff-sitesEquity

Key Requirements

•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.

Experience:3-7 yearsAIData engineeringGTM engineeringGrowth engineering

Skills:PythonSQLDbtAirflowDagsterBigQuerySnowflakeDatabricksAPIsBIDashboardsLLMs

Languages:English

Tech Stack:PythonSQLSnowflakeBigQueryDatabricksDbtAirflowDagsterBILLMAPIs

Company Brief

Prime Intellect

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn