[Remote] Senior Data Intelligence Engineer
Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech technologies. The Senior Data Intelligence Engineer will be responsible for building the foundational tools and models that allow AI agents to autonomously navigate data, ensuring high reliability and integration with existing systems.
Responsibilities
- Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models
- Develop the tools and permissions frameworks that allow "Analyst Agents" to query Athena, correlate Salesforce churn signals, and identify API latency issues
- Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are "agent-ready" and highly reliable
- 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
- 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
Benefits
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- Parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
- For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
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