[Remote] Senior Data Intelligence Engineer
Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. The Senior Data Intelligence Engineer will be responsible for building the API-based tools and models that enable AI agents to navigate the company's data environment autonomously.
Responsibilities
- Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models
- Agent Tooling & Integration: Develop the tools and permissions frameworks that allow "Analyst Agents" to query Athena, correlate Salesforce churn signals, and identify API latency issues
- Infrastructure Evolution: Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are "agent-ready" and highly reliable
- The "Unlock Audio Intelligence" Project: Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams
- Automation Obsession: Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents
Skills
- 5+ years in high-growth Data or AI Engineering roles
- Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data
- Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR
- Comfort with 'work-in-progress' infrastructure and the ability to turn messy, siloed data into high-impact business logic
- Prior experience as a Software Engineer or Data Engineer
- Experience with real-time billing and consumption systems
- Contributions to open-source data or AI projects
Company Overview
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