1 month ago
Base Salary
$185k - $240k/yr
Responsibilities
- Model conformed gold-layer entities across Salesforce, the console, Stripe, and the billing system.
- Own and version semantic-layer models that provide consistent metric definitions across dashboards, notebooks, and agents.
- Build agent-facing tools, permissions, and MCP surfaces for reliable data navigation.
- Create assertions for grain, uniqueness, and cross-system reconciliation, routing issues to named owners.
- Evaluate agent outputs against known-correct answers and track accuracy, refusal, and confidently-wrong rates.
- Answer questions from sales, product, and finance while creating reusable models that reduce future analysis effort.
Requirements
- Demonstrated daily, sophisticated use of AI as part of the working process, including the ability to explain a recent AI project in depth.
- Production-grade SQL and Python experience with scheduled code, instrumentation, and operational ownership.
- Ownership of a semantic or metrics layer using dbt, Cube, LookML, or an equivalent tool.
- Strong modeling judgment around grain, keys, data defects, and business-definition ambiguity.
- Ability to work effectively in unfinished infrastructure without an inherited ticket queue or established process.
- Clear technical writing for definitions and contracts that other users can trust.
- Bonus: experience with usage-based or consumption business models, real-time billing and consumption systems, lakehouse architectures such as Iceberg, Athena, or Trino, or open-source data and AI projects.
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.