Senior Solutions Architect - Europe
Job description
A Solutions Architect role in EMEA at Deepgram, owning complex post-sales engagements, guiding customers to production, and providing Tier-3 technical support for the region. The role spans architecture, implementation, and technical problem solving across the customer lifecycle.
At a glance
- Employment
- Full-time
- Work mode
- Remote · United Kingdom, Ireland, Scotland, Switzerland +4
- Languages
- English – fluent
What you'll do
- Lead architecture and implementation for enterprise deployments that use Deepgram's speech-to-text, text-to-speech, and voice-agent capabilities.
- Own post-sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.
- Serve as the Tier-3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.
- Design reference architectures and implementation patterns for common EMEA customer use cases including contact centers, voice analytics, QA, and AI agents.
- Build high-quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.
- Contribute to pre-sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.
- Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.
- Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions.
- Participate in an on-call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.
What we're looking for
- 5 or more years 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. You can build POCs and tools that real users run.
- Hands-on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API-driven systems.
- Proven ownership of complex post-sales work such as production deployments, migrations, performance tuning, and incident response.
- Clear written and verbal communication across both technical and executive audiences.
- Based in an EMEA time zone with reliable overlap to customer business hours.
- Excellent written and spoken English.
- Familiarity with GDPR, data privacy expectations, and enterprise security reviews common across EMEA.
- Ability to travel within the region for critical customer milestones, estimated 10–20 percent.
Nice to have
- Experience with speech recognition, TTS, or building voice agents that orchestrate LLMs.
- Familiarity with WER analysis, model selection and tuning, and accuracy-versus-latency tradeoffs.
- Experience operating self-hosted systems, including Helm-based deployments and observability for production services.
- Strong understanding of authentication, authorization, data residency, and compliance topics that appear in EMEA enterprise reviews.
- Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.
Your team
Applied Engineering
Combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. The technical interface from first discovery through successful production and beyond, partnering closely with Sales, Customer Success, Product, and DevRel.
How to get hired
- 1Recruiter screen focused on experience, motivations, and logistics.
- 2Hiring manager conversation focused on technical depth and customer impact.
- 3Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.
- 4Panel interviews with cross-functional partners.
- 5A presentation simulating a post-sales customer engagement, based on a provided case study. Additionally, you'll be asked to present a past customer-facing technical engagement that you led, including the problem, your approach, and measurable outcomes.
Apply
About Deepgram
The leading platform underpinning the emerging trillion-dollar Voice AI economy
Deepgram provides 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'. 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.
Key facts
- Voice AI
- More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram'
- Backed by a recent Series C led by leading global investors and strategic partners
- Has processed over 50,000 years of audio and transcribed more than 1 trillion words
Partners & customers