Senior Analytics Engineer – AI Data Layer

Career Growth Signal: This is a rare "first or second in" senior IC role at a well-funded AI infrastructure company (5,000+ enterprise customers, 650,000+ developers). Being foundational on a new team means high ownership, high visibility, and a direct line to shaping the data decision layer for the entire org — a career-defining opportunity for the right engineer.

Skills You'll Build:

• Semantic/metrics layer design (dbt, Cube, LookML) — extremely in-demand as the "headless BI" and AI analytics markets explode
• Agentic data tooling and MCP surface design — a genuinely emerging and scarce skill set
• Cross-system identity resolution across Salesforce, Stripe, and billing systems — critical for any SaaS analytics role
• Evaluation frameworks for LLM/agent output accuracy — a hot, transferable skill in 2024–2025

Compensation Context: No salary is listed, but senior data engineers at AI-native startups of this profile typically command $160,000–$220,000 USD annually in the US market. Deepgram's customer list (Twilio, Cloudflare) suggests strong revenue traction and Series B+ funding runway.

Green Flags: Clear operating principles, explicit AI-first culture, and high autonomy for ICs signal a mature-but-fast startup culture. The interview process (walking through your own AI workflow) is refreshingly meritocratic.

Red Flags to Watch: "Nothing here is finished" and "no ticket queue" can mean exciting greenfield work — or chronic under-resourcing. Clarify team headcount plans and data platform maturity before accepting.

Deepgram is bringing the world's most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run e than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world's conversations with AI run on our models.

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

Compress before you communicate. You think it through first, then lead with the bottom line.

Resist entropy. You question what already exists before adding more process or tools.

Solve the category. You fix recurring problems at the source, not one case at a time.

Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.

Own the output. AI can speed up the work. It doesn't make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.

Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.

Keep pace. Mode…