Deepgram
Deepgram Offices
Deepgram is headquartered in San Francisco and has 2 office locations.
Remote Workplace
Employees work remotely.
U.S. Office Locations
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
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Drive new customer acquisition and revenue growth across Fortune 500 accounts in the greater New York area. Build executive relationships through in-person engagement, self-prospect for new opportunities, manage complex enterprise sales cycles, exceed targets, and expand existing accounts. Partner with Marketing, SDR, Partner, Sales Operations, Sales Engineering, and Customer Success teams while developing expertise in Deepgram’s Voice AI products and competitive landscape.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Partner with the SVP of Customer Success to improve executive effectiveness and organizational operating rigor. Responsibilities include calendar and meeting management, forecasting and business analytics, executive and board reporting, cross-functional initiative coordination, operating-rhythm management, action tracking, process improvement, and synthesizing data into insights, risks, decisions, and recommendations. The role combines executive support, business operations, project management, and analytical judgment.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own enterprise voice AI deployments for strategic restaurant customers, from technical discovery and architecture through integration, go-live, optimization, and production support. Write code, configure APIs and workflows, troubleshoot live issues, and collaborate with customer engineering teams and business leaders. Develop reusable deployment tools, reference architectures, and playbooks while translating field challenges into product improvements. Partner closely with Sales, Product, and Engineering and serve as a trusted technical escalation point.
