Senior Solutions Architect - Europe

Company Overview

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

Operating Principles:

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

• Compress before you communicate. You think it through first, then lead with the bottom line.

• Resist entropy. You question what already exists before adding more process or tools.

• Solve the category. You fix recurring problems at the source, not one case at a time.

• Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

AI-First by Default

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

• Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.

• Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.

• Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.

• Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

Note: this is a remote role that is to be based out of one of the following countries:

• United Kingdom

• Ireland

• Switzerland

• Spain

The Opportunity

Deepgram is expanding globally and building a true follow‑the‑sun model. We are hiring a Solutions Architect in EMEA to own complex post‑sales engagements, guide customers to production, and strengthen our technical support coverage for the region. You will work across the full customer lifecycle, with a primary focus on architecture, implementation, and Tier‑3 technical problem solving. You will also contribute to pre‑sales validation when deep technical credibility is needed, partner with Product and Engineering on feedback and roadmap, and help mature our global operations.

About Applied Engineering at Deepgram

Applied Engineering combines functions that other companies split across Solutions Engineering, Solutions Architecture, Consulting, and Senior Technical Support. We are the technical interface from first discovery through successful production and beyond. The team partners closely with Sales, Customer Success, Product, and DevRel to deliver an enterprise‑grade experience that is fast, clear, and outcome‑oriented.

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.

Regional Expectations

• Based in an EMEA time zone with reliable overlap to customer business hours.

• Excellent written and spoken English. Additional European languages are a strong plus.

• 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.

Your First 90 Days

First 30 days

Ramp on Deepgram’s platform, APIs, SDKs, self-hosted deployments, and support practices. Shadow calls across pre-sales, post-sales, and support. Begin owning low-risk technical tasks for an active account and contribute improvements to runbooks or sample code.

By day 60

Own two to three customer workstreams end-to-end. Lead discovery for one new implementation or migration. Publish one reusable asset such as a deployment guide, Helm example, or troubleshooting playbook.

By day 90

Act as primary technical owner for several EMEA accounts in production. Close at least one complex investigation with measurable customer impact. Present a short readout on a repeated regional pattern and the automation or content you created to solve it.

You’ll Thrive Here If You

• Enjoy solving hard customer problems at the code, container, and cloud layers.

• Like translating messy real‑world constraints into clear architectures and plans.

• Are comfortable writing and reading production‑grade code, not just sample snippets.

• Value crisp documentation, reproducible runbooks, and operational excellence.

• Care about delivering outcomes, not just closing tickets.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

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