Teams at Deepgram

Recently posted jobs

27 Days AgoSaved
In-Office or Remote
New York, NY, USA
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.
One Month AgoSaved
In-Office or Remote
2 Locations
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.
One Month AgoSaved
In-Office
2 Locations
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Build and deploy production backend services, third-party integrations, internal tooling, and voice agents for strategic enterprise customers. Work directly on site with customer technical and business teams, monitoring and optimizing live systems for accuracy, latency, and throughput. Collaborate with research and product teams to extend the platform, provide field feedback, and create reusable solutions. The role involves regular customer-site work, solution scoping, technical problem-solving, and end-to-end ownership of deployed systems.