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 Deepgram’s North American events and field marketing portfolio, including 20+ trade shows, conferences, partner programs, executive events, roadshows, and account-based initiatives. Responsibilities include event strategy, budgeting, vendor and contract management, partner funding, brand activations, sales enablement, pipeline attribution, lead routing, ROI analysis, and post-event reporting. The role partners closely with Sales, Demand Generation, Product Marketing, alliances, and Marketing Operations, while developing AI-powered workflows and supporting the Deepgram Speak event series.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead Deepgram’s enterprise demand generation function, owning sales-led pipeline targets, integrated campaigns, ABX programs, funnel optimization, partner co-marketing, re-engagement, attribution, and Sales alignment. Build campaign systems, scorecards, and playbooks; manage campaign planning across marketing teams; improve handoffs to SDRs and Sales; and hire and coach a high-performing team while remaining hands-on with strategy, briefs, reporting, and AI-enabled workflows.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.
