Senior Data Intelligence Engineer

Deepgram

57d

About The Position

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. Deepgram is the foundational AI company for voice, building models that allow machines to hear, understand, and speak to humans with zero latency. As the company scales its usage-based economy, it is building the "Intelligence Layer"—a system of autonomous agents that monitor, reason, and act on data to drive NRR and operational excellence. This role, reporting to the Head of Decision Intelligence, is the founding engineer of the Data Intelligence team. The Head of Data sets the strategic "Brain" of the company, while this role builds the nervous system. The focus is on building API-based tools, dbt models, and semantic layers that enable AI agents to autonomously navigate the data environment, rather than building legacy dashboards.

Requirements

Experience: 5+ years in high-growth Data or AI Engineering roles.
AI-Native Technical Skills: Mastery of SQL and Python (production-grade) with a proven track record of building RAG or Agentic systems on top of structured data.
Usage-Based SaaS Fluency: Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.
Builder Mindset: Comfort with "work-in-progress" infrastructure and the ability to turn messy, siloed data into high-impact business logic.

Nice To Haves

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.

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.