Solutions Engineer, Enterprise

Responsibilities

• Partner with enterprise customer engineering teams as a trusted technical peer to lead discovery and solutioning.
• Own end-to-end technical implementation of Deepgram’s voice AI platform, from initial architecture to go-live and optimization.
• Configure and customize the platform to meet unique operational requirements, including POS integrations and complex ordering flows.
• Monitor, troubleshoot, and resolve technical issues in live production environments.
• Codify deployment patterns into tools, playbooks, and reference architectures to enable scaling.
• Act as the voice of the customer by translating real-world deployment challenges into actionable requirements for Product and Engineering teams.

Requirements

• Strong software engineering expertise with the ability to write code, read logs, and ship fixes.
• Proficiency working with APIs, SDKs, webhooks, and diverse customer tech stacks.
• Solid understanding of cloud infrastructure and technical troubleshooting.
• Proven ability to provide customer-facing technical leadership and build credibility with stakeholders.
• Ability to travel up to 50% to support customer engagements and onsite interactions.

Preferred Qualifications

• Experience with voice AI, speech-to-text (STT), NLP, or conversational AI systems.
• Experience working in early-stage startups or founder-led environments.
• Previous experience embedded within a large enterprise customer’s product deployment.

Benefits

• Medical, dental, and vision benefits plus an annual wellness stipend.
• Unlimited PTO and generous paid parental leave.
• 401(k) plan with company match.
• Learning and education stipends to support continuous professional growth.
• Home office upgrade stipend and quarterly personal productivity stipend.

About the Company

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy. We provide real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents at scale. Our voice-native foundation models are used by over 1,300 organizations, including industry leaders like Twilio and Cloudflare, to deliver unmatched accuracy and low latency.