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
Owns product operations across roadmap coordination, new product introduction, launch readiness, partner deliverables, financial and revenue analysis, metrics, executive reporting, and cross-functional planning. The role maintains product commitments, drives accountability, leads launch gates, models business impact, coordinates sales and marketing readiness, and supports leadership decision-making through business reviews, planning, and board materials.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Support the CEO and CTO by managing calendars, complex travel, inbox triage, office operations, events, expenses, and corporate card reconciliation. The role requires careful handling of confidential information, rapid prioritization, professional communication, and consistent in-office presence in Ann Arbor. The coordinator will also use AI and automation to streamline administrative workflows and contribute to shared executive-support systems.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Own technical go-to-market enablement for pre-sales and post-sales teams. Build onboarding, ramp programs, technical frameworks, playbooks, certifications, launch readiness, and scalable guidance from subject-matter expertise. Partner with Product, Applied Engineering, Customer Success, Sales, and PMM to improve technical discovery, evaluations, architecture guidance, handoffs, escalations, and customer readiness. Use AI, scripts, agents, and workflows to eliminate recurring work and scale enablement.
