Deepgram Offices

Deepgram is headquartered in San Francisco and has 2 office locations.

Remote Workplace

Employees work remotely.


U.S. Office Locations

HQ

San Francisco

548 Market St., San Francisco, CA, United States, 94104

Ann Arbor

While most of our employees work out of their homes across the US, a small group works out of our Ann Arbor Office. Centrally located in a fantastic college town, this office is tight-knit and takes advantage of the numerous restaurants and bars in the area.

Recently posted jobs

11 Days AgoSaved
Remote
USA
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Conduct talent mapping, market research, proactive sourcing, and pipeline development across technical, business, and leadership roles. Partner with recruiters and hiring managers to define target profiles, identify passive candidates, analyze talent availability and compensation trends, and deliver actionable market intelligence. Build evergreen talent communities, improve research workflows and tools, and adapt quickly to changing hiring priorities.
15 Days AgoSaved
Remote
USA
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.
19 Days AgoSaved
Remote
USA
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own the company’s metric registry and canonical definitions, resolve conflicting metrics, enforce definitions in semantic and catalog systems, and retire redundant reporting assets. Build data quality checks, route failures to accountable owners, and evaluate AI agents against ground truth. Enable trustworthy self-service analytics through governed data. The role requires strong SQL, production ownership of a semantic or metrics layer, data catalog or lineage experience, clear documentation, and cross-functional decision-making.