Deepgram
Deepgram
Deepgram is a voice AI company that develops APIs for speech-to-text, text-to-speech, and language understanding. Its platform helps developers create real-time voice applications, including conversational AI, contact center tools, and medical transcription workflows. By processing spoken language with an emphasis on accuracy, speed, and cost efficiency, Deepgram enables organizations across healthcare, logistics, consulting, and other sectors to turn voice data into useful information and interactive experiences.

Senior Analytics Engineer, Decision Intelligence — Deepgram Remote

Build Deepgram’s governed decision-intelligence foundation for its Voice AI platform. Create semantic models, agent-ready data tools, and validation systems that improve analytical accuracy.

Description

  • Create a gold data layer using conformed customer, account, project, product, and contract entities
  • Unify identities across Salesforce, the console, Stripe, and billing systems
  • Own and version the semantic layer so dashboards, notebooks, and agents use consistent metrics
  • Develop tools, permissions, and MCP interfaces that help analyst agents access data safely
  • Implement checks for grain, uniqueness, and cross-system reconciliation, assigning issues to accountable owners
  • Test agent responses against verified answers while monitoring accuracy, refusal, and confidently incorrect rates
  • Solve practical questions for sales, product, and finance by producing reusable data models

Requirements

  • Use AI tools extensively in day-to-day work and operate with an AI-native approach
  • Bring production-level experience with SQL and Python
  • Have owned a semantic or metrics layer using dbt, Cube, LookML, or a comparable technology
  • Apply strong data-modeling judgment to grain, keys, defects, and business definitions
  • Work effectively with evolving infrastructure and limited inherited process
  • Communicate clearly in writing
  • Experience with usage-based or consumption-driven business models is a plus
  • Experience with real-time billing and consumption systems is a plus
  • Experience with lakehouse architectures such as Iceberg, Athena, or Trino is a plus
  • Contributions to open-source data or AI projects are a plus

Benefits

  • Equity compensation
  • Performance bonus

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