
Solutions Engineer – Enterprise
Deepgram
full-time
Posted on:
Location Type: Remote
Location: New York • United States
Visit company websiteExplore more
Salary
💰 $165,000 - $220,000 per year
About the role
- Deploy Deepgram’s voice AI platform into complex restaurant environments
- Embed with customer engineering teams as a trusted technical peer
- Own the end-to-end technical implementation of Deepgram’s voice AI platform
- Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements
- Monitor, troubleshoot, and resolve technical issues in live deployments
- Codify patterns into tools, playbooks, reference architectures for broader team use
- Translate real-world deployment challenges into actionable requirements for product and engineering teams
Requirements
- Excellent software engineer with technical depth
- Customer obsession and commitment to technical success
- High slope: learns fast, adapts quickly, and stays effective in ambiguity
- Able to build deep credibility with technical and non-technical stakeholders
- Experience with voice AI, speech-to-text, NLP, or conversational AI systems (preferred)
- Previous experience embedded within a large enterprise customer’s product deployment (preferred)
Benefits
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
voice AIspeech-to-textNLPconversational AItechnical implementationtroubleshootingmonitoringcodifying patternsreference architectures
Soft Skills
customer obsessioncommitment to technical successadaptabilitycredibility with stakeholderslearning faststaying effective in ambiguity