Founding Data Engineer, AI Platform

GC AI

5d • $165,000 - $350,000 • Remote

About The Position

GC AI is seeking a Founding Data Engineer to be their first dedicated data hire. This role involves owning the entire data stack from day one, consolidating data from various systems (product usage, CRM, billing, customer data, user analytics) into a single, well-modeled warehouse in BigQuery. The position will focus on building infrastructure for data accessibility, including internal data agents with natural-language query capabilities, similar to Vercel's d0. The long-term vision includes building a data lake to support personalization and fine-tuning for the GC AI platform, working closely with Product and Engineering. This is a founding role where the individual will set patterns, choose tools, and eventually build a team.

Requirements

• 5+ years of experience in data engineering, with hands-on experience building and maintaining data warehouses and pipelines.
• Strong SQL skills and deep experience with BigQuery or comparable analytical databases.
• Proficiency in Python for pipeline development, scripting, and tooling.
• Experience building ETL/ELT pipelines that consolidate data from multiple source systems (SaaS APIs, event streams, databases).
• Experience working within GCP or a comparable cloud ecosystem.
• Ability to design data models that are clean, performant, and usable by non-engineers.

Nice To Haves

• Experience building internal data tools or agents using LLMs (text-to-SQL, natural language interfaces, automated reporting). This is a strong differentiator.
• Experience as the first or early data hire at a startup, where you owned the full stack.
• Familiarity with legaltech, legal operations, or SaaS product analytics.
• Experience setting up self-serve analytics layers (semantic layers, BI tool configuration, data documentation).
• Experience with data infrastructure that supports ML workflows (feature stores, training data pipelines, data lakes).
• Experience with infrastructure as code, especially Terraform, for managing GCP data infrastructure.

Responsibilities

• Take ownership of the data warehouse in BigQuery: modeling, pipeline development, data quality, and performance.
• Build pipelines that consolidate product usage data, CRM data, billing, customer contract data, and user analytics into a single source of truth.
• Design and build internal data tools using applied AI, including natural-language query interfaces and automated reporting, so the rest of the company can self-serve without waiting on an analyst.
• Set up the warehouse so business teams can run their own queries and pull their own numbers without filing a ticket.
• Build toward a data lake architecture that supports personalization and model fine-tuning for the GC AI product.
• Keep the stack lean. Use what's available in BigQuery and the broader GCP ecosystem and make smart decisions to reduce complexity and cost without introducing tool sprawl.
• Define data engineering practices, tooling, and standards as the first hire on what will become a team.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed