8 months ago
Remote, United Kingdom +4 moreSenior
Responsibilities
- Lead architecture and implementation for enterprise deployments using speech-to-text, text-to-speech, and voice-agent capabilities.
- Own post-sales technical success, including integrations, accuracy and latency optimization, production readiness, and customer guidance.
- Serve as a Tier-3 escalation point by performing root cause analysis, proposing mitigations, and creating durable fixes or automation.
- Design reference architectures and implementation patterns for contact centers, voice analytics, quality assurance, and AI-agent use cases.
- Build samples, internal tools, scripts, deployment guides, and troubleshooting playbooks.
- Support pre-sales discovery and proofs of concept when deep technical direction is required.
- Partner with Product and Engineering on customer feedback, fixes, features, and roadmap priorities.
- Create runbooks, playbooks, and documentation and participate in regional on-call or incident rotations.
- Own multiple EMEA customer workstreams and act as the primary technical owner for production accounts.
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, orchestration, and secure network design for API-driven systems.
- Proven ownership of complex post-sales work, including production deployments, migrations, performance tuning, and incident response.
- Clear written and verbal communication with technical and executive audiences.
- Experience with speech recognition, text-to-speech, or voice agents orchestrating large language models is preferred.
- Familiarity with word error rate analysis, model selection and tuning, accuracy-versus-latency tradeoffs, self-hosted systems, Helm-based deployments, and production observability is preferred.
- Strong understanding of authentication, authorization, data residency, GDPR, and enterprise compliance and security reviews is preferred.
- Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish is preferred.
- Ability to work from an EMEA time zone, overlap with customer business hours, and travel within the region when needed.
Benefits
- Remote role based in the United Kingdom, Ireland, Switzerland, Austria, or Spain.
- Periodic regional meetups and collaboration across Americas, EMEA, and APAC for continuous coverage.
- Estimated 10–20% travel within the region for critical customer milestones.
- Participation in defined escalation paths, shared playbooks, measurable SLAs, and regional support coverage.
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.