Founding Data Intelligence Engineer — AI-First

Deepgram; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Deepgram is hiring a founding Data Engineer on the Data Intelligence team in SF. You will build API-based tools, dbt models, and semantic layers that empower AI agents to navigate data autonomously.

Requirements include 5+ years in Data or AI Engineering, production-grade SQL and Python, and experience with RAG/Agentic systems. You’ll work on real-time, usage-based data against structured datasets to drive GTM insights.

Qualifications

• 5+ years in high-growth Data or AI Engineering roles.
• Proven track record of building RAG or Agentic systems on structured data.
• Experience with SQL and Python in production environments.

Responsibilities

• Semantic Layer Architecture: Build and maintain dbt/SQL models serving as the ground truth for complex revenue models.
• Agent Tooling & Integration: Create tools and permissions for Analyst Agents to query Athena, correlate churn signals, and identify latency issues.
• Infrastructure Evolution: Collaborate with Engineering/Infra to ensure data contracts are agent-ready and reliable.
• The "Unlock Audio Intelligence" Project: Ingest thousands of internal calls with Deepgram models to turn audio into queryable insights for GTM teams.
• Automation Obsession: Treat repetitive SQL tasks as bugs to be solved with code and agents.

Skills

SQL

Python

RAG/Agentic systems

API-first data

Tools

dbt

Athena

Salesforce

Job description

Deepgram is hiring a founding Data Engineer on the Data Intelligence team in SF. You will build API-based tools, dbt models, and semantic layers that empower AI agents to navigate data autonomously.

Requirements include 5+ years in Data or AI Engineering, production-grade SQL and Python, and experience with RAG/Agentic systems. You’ll work on real-time, usage-based data against structured datasets to drive GTM insights.