Deepgram
Solutions Engineer, Enterprise
About this role
Join Deepgram as a Solutions Engineer to deploy voice AI technology into enterprise restaurant environments. You'll partner with major restaurant brands to integrate our platform end-to-end, troubleshoot production issues, and translate real-world deployment challenges into product improvements.
What you'll do
- Embed with enterprise customers as a technical peer to lead discovery, solutioning, and end-to-end platform implementation
- Configure and customize Deepgram's voice AI platform for unique operational requirements including POS integrations and ordering flows
- Monitor, troubleshoot, and resolve technical issues in live production deployments
- Codify deployment patterns into reusable tools, playbooks, and reference architectures for broader team use
- Serve as escalation point for complex technical issues and gather customer feedback for product teams
- Support sales engagements and participate in onsite customer interactions with up to 50% travel
What they're looking for
- Full-stack software engineering and coding proficiency
- Production troubleshooting and debugging expertise
- Systems integration and API implementation
- Technical communication with both customers and engineering teams
- Hands-on problem-solving and rapid prototyping
- Understanding of restaurant technology and POS systems
- AI/ML platform familiarity
- Comfort with AI tools and rapid adoption of new technologies
Benefits
- Work at the intersection of cutting-edge voice AI and real-world enterprise deployments
- Direct influence on product direction through customer feedback
- Hands-on technical role with coding and architecture ownership
- Remote-first work environment based in New York City
- Opportunity to shape industry standards in voice AI for restaurants
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Deepgram
Deepgram builds voice AI and speech processing technology, offering platforms that power real-time speech recognition and audio intelligence across cloud, edge, and embedded environments. The company is hiring applied ML engineers, backend engineers, embedded AI engineers, and customer-facing roles (customer success and pre-sales engineers) to scale its AI infrastructure and drive enterprise adoption.
- Website
- deepgram.com
Likely interview questions
- Walk us through a complex technical integration you've owned end-to-end. How did you scope it, what challenges did you encounter, and how did you ensure it went live successfully?
- Describe your experience working directly with customer engineering teams on technical implementations. How do you build trust and keep them moving quickly when blockers arise?