Senior Forward Deployed Engineer (FDE), Strategic Accounts
AI summary of the role
Senior Forward Deployed Engineer embedding with enterprise restaurant brands and technology partners to own end-to-end technical implementation of Deepgram's voice AI platform, from discovery through go-live and optimization.
What you’ll do
- Embed with customer engineering teams as a trusted technical peer and lead technical discovery and solutioning.
- Own end-to-end technical implementation of Deepgram's voice AI platform for enterprise customers, from scoping and architecture through go-live and optimization.
- Adapt and configure Deepgram's platform to meet each customer's operational requirements, including menu structures, ordering flows, POS integrations, and edge cases.
- Monitor, troubleshoot, and resolve technical issues in live deployments; serve as escalation point for complex issues.
What you’ll bring
- Excellent software engineering skills with comfort across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks.
- Deep personal commitment to customer technical success and extreme ownership of deployments.
- Ability to learn fast, adapt quickly, and stay effective in ambiguity without constant structure.
- Strong communication and trust-building with both technical and non-technical customer stakeholders.
Technologies
voice AI · speech-to-text · text-to-speech · APIs · SDKs · webhooks · cloud infrastructure · POS integrations · AI coding tools · NLP · conversational AI
About Deepgram
Builds speech-to-text, text-to-speech, audio intelligence, and voice-agent APIs for developers and enterprises deploying real-time voice applications at scale.
Series C · 100–200 people
Source and classification
Production engineering · Evidence for this classification:
seeking something highly prescriptive with a traditional 9-to-5. Opportunity: Enterprise restaurant deployments are where voice AI meets the messiness of the real world: legacy systems, high transaction volumes, operational edge cases, and technology that has to work reliably during the busiest moments of the day. In this role, you will embed with leading restaurant brands and technology partners to make those deployments successful. You will learn how their systems work, design the integration path, write code, troubleshoot production issues, and adapt Deepgram’s platform to the constraints of live restaurant operations. You will work directly with customer engineering teams and business leaders, owning the technical path from early discovery through go-live and optimization. Your impact will extend beyond any single customer. You will identify patterns across deployments,
More from the job description
Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new [... source excerpt omitted ...] of the real world: legacy systems, high transaction volumes, operational edge cases, and technology that has to work reliably during the busiest moments of the day. In this role, you will embed with leading restaurant brands and technology partners to make those deployments successful. You will learn how their systems work, design the integration path, write code, troubleshoot production issues, and adapt Deepgram’s platform to the constraints of live restaurant operations. You will work directly with customer engineering teams and business leaders, owning the technical path from early discovery through go-live and optimization. Your impact will extend beyond any single custome [... source excerpt omitted ...] ference architectures, and playbooks that help the team deploy faster and more reliably across large restaurant fleets. This role is for an engineer who wants direct ownership of customer outcomes and enjoys turning complex, ambiguous deployments into repeatable systems. The goal is simple: make every Deepgram for Restaurants deployment feel effortless to the customer and deliver measurable value from day one. Location: This role is based in New York City or San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. This role also includes occasional travel to meet with customers, support s
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