About this role
Based in the USA as a remote position, the Senior Analytics Engineer - Decision Intelligence role at Deepgram involves building the decision layer for the company's data ecosystem, making it well-suited for a senior technical individual contributor with deep analytics and AI experience.
Role Overview
Deepgram is hiring a Senior Analytics Engineer for a new decision intelligence team to design the semantic models, conformed entities, and agent-facing data tools sitting above the enterprise data warehouse. This role focuses purely on modeling, metrics ownership, and establishing a single source of truth for both human teams and AI agents, rather than building low-level ingestion pipelines. The engineer will operate within a fast-paced environment that requires an AI-first daily working practice and the ability to establish foundational processes from scratch.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Deepgram operates a leading platform in the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents. Serving over 200,000 developers and 1,300 organizations—including major technology and enterprise brands—the company provides voice-native foundation models via cloud APIs, self-hosted software, and on-premises deployments. Backed by a recent Series C funding round, Deepgram requires an AI-first mindset where all team members actively experiment with advanced AI tools.
How to Apply
Interested candidates should apply directly on the official Deepgram careers page, ensuring all recruitment communications originate from an official @deepgram.com email address.
Skills and tech stack
Questions candidates ask
What is the location requirement for this role?
The role is fully remote within the USA.
Will this role involve building data pipelines?
No, ingestion, orchestration, and latency management are handled by the data platform team. This role focuses on the semantic layer, semantic models, and agent-facing tools built on top of the warehouse.
What compensation and benefits are provided?
The position offers a salary range of $185K to $240K, along with equity and bonuses.
What level of AI experience is expected?
Candidates must demonstrate an AI-native daily working practice where AI is intricately integrated into their workflow, rather than just used for simple autocomplete.
What tools are mentioned for semantic layer ownership?
Experience with dbt, Cube, LookML, or equivalent semantic and metrics layer tools is required.
