Responsibilities
- Lead architecture and implementation for enterprise deployments using Deepgram speech-to-text, text-to-speech, and voice-agent capabilities.
- Own post-sales technical success for assigned accounts by unblocking integrations, optimizing accuracy and latency, and guiding customers to stable production.
- Serve as the Tier-3 escalation point, driving root-cause analysis, mitigations, durable fixes, and automation.
- Design reference architectures and implementation patterns for contact centers, voice analytics, quality assurance, and AI-agent use cases.
- Build reusable customer samples, internal tools, scripts, deployment guides, troubleshooting playbooks, and other technical assets.
- Contribute to pre-sales discovery and proofs of concept when deep technical direction is required.
- Partner with Product and Engineering to prioritize fixes and features and improve the roadmap with customer feedback.
- Document runbooks, playbooks, and knowledge resources that scale expertise across regions.
- Participate in regional on-call or incident rotations and help meet or exceed customer support service-level agreements.
- Own multiple EMEA customer workstreams, lead implementations or migrations, close complex investigations, and present measurable customer outcomes.
Requirements
- At least 5 years of experience in Solutions Architecture, Solutions Engineering, or similar customer-facing technical roles.
- Professional software engineering experience in at least one language such as Python, Rust, or JavaScript, with the ability to build production-grade proofs of concept and tools.
- Hands-on experience with modern cloud platforms, containerization, Docker, Kubernetes, and secure network design for API-driven systems.
- Experience owning complex post-sales work such as production deployments, migrations, performance tuning, and incident response.
- Strong written and verbal communication across technical and executive audiences.
- Experience with speech recognition, text-to-speech, or voice agents orchestrating LLMs is preferred.
- Familiarity with WER analysis, model selection and tuning, and accuracy-versus-latency tradeoffs is preferred.
- Experience operating self-hosted systems, including Helm-based deployments and production observability, is preferred.
- Strong understanding of authentication, authorization, data residency, and compliance topics in EMEA enterprise reviews is preferred.
- Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish is preferred.
- Candidates must be based in an EMEA time zone, have excellent English communication skills, and be able to travel within the region approximately 10–20 percent.
Benefits
- Remote role based in the United Kingdom, Ireland, Scotland, Switzerland, Germany, Austria, Netherlands, or Spain.
- Periodic regional meetups and collaboration across EMEA, the Americas, and APAC.
- Medical, dental, and vision benefits; wellness stipend; mental health support; and life, short-term disability, and long-term disability insurance plans.
- Unlimited PTO, paid parental leave, flexible schedule, and 12 paid US company holidays.
- Quarterly productivity stipend, one-time home-office upgrade stipend, 401(k) with company match, and tax savings programs.
- Learning and education stipend, conference participation, employee resource groups, and AI enablement workshops.
- Benefits for international employees are administered locally through an Employer of Record and vary by country.
Tech Stack
Categories
About Deepgram
Deepgram is the real-time API platform powering the trillion-dollar Voice AI economy. Backed by a $130M Series C at a $1.3B valuation, Deepgram is trusted by 200,000+ developers and 1,300+ organizations to build Voice AI products, platforms, and autonomous agents with the lowest latency, highest accuracy, and enterprise reliability. Our voice-native foundation models and runtime infrastructure have processed 50,000+ years of audio and over 1 trillion words, making Deepgram the most experienced voice AI platform in the world. Industry-leading models & platform: 👂 Nova-3 — the world’s most accurate real-time speech-to-text model 🔊 Aura-2 — professional, enterprise-grade text-to-speech 💬 Flux — the first Conversational Speech Recognition model designed to handle interruptions 🚀 Voice Agent API — enterprise-ready, real-time conversational AI 🧠 Saga — the Voice OS Beyond core infrastructure, Deepgram is expanding the Voice AI ecosystem through: 💪 Powered by Deepgram, supporting voice products built by leading AI startups and enterprise organizations 🌉 A new Voice AI Collaboration Hub in San Francisco for builders, partners, and the voice community 🍔 The acquisition of OfOne, delivering real-time Voice AI for restaurants and drive-thru operations with 95%+ containment 📃 A growing patent portfolio in Voice AI Much like APIs powered the payments and cloud economies, Deepgram is building the foundation for a trillion-dollar B2B Voice AI economy—centered on the most natural human interface: voice.