7 months ago
Remote, United Kingdom +6 moreSenior
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
Solutions Engineering
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.