Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Senior Solutions Architect – Europe
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- Salary
- Undisclosed
- Department
- Technical Support
- Employment
- Full Time
- Experience
- Director
- Published
- Apply before
- 20 Nov 2026
- Listing views
- 15
- Application actions
- 0
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The role, at a glance.
Deepgram is seeking a senior customer-facing Solutions Architect to lead enterprise post-sales implementations of speech AI, TTS, and voice-agent systems across EMEA. The role combines solution architecture, production deployment, Tier-3 escalation support, incident response, and selective pre-sales technical validation. The successful candidate will build reference architectures, automation, reusable samples, runbooks, and feedback loops with Product and Engineering. It requires strong software development, cloud, Kubernetes, networking, security, and customer communication skills, with an AI-first and fast-changing operating environment. The position is remote from the specified UK and European countries, with regional travel estimated at 10–20%.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
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Core skills
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Sample interview questions
I would first establish measurable latency baselines across client, network, API, and downstream processing layers. I would inspect request patterns, audio formats, regional routing, concurrency, observability data, and model configuration, then isolate the highest-impact bottleneck. I would propose prioritized mitigations, validate them against agreed success criteria, and document the final architecture and operational runbook.
I would begin with data residency, threat-model, authentication, authorization, and audit requirements. The design would use segmented network access, encrypted transport and storage, least-privilege identity controls, secrets management, Kubernetes deployment controls, monitoring, and documented incident procedures. I would work with the customer’s security stakeholders to map controls to their review requirements and verify the design through a production-readiness assessment.
I would explain the customer impact, technical symptoms, and how I formed a cross-functional incident team with clear ownership and communication intervals. I would describe using logs, metrics, traces, and reproducible tests to identify root cause, applying a safe mitigation, and validating recovery. I would conclude with the durable fix, customer follow-up, and preventive actions such as automation, monitoring, or documentation.
I first clarify the business outcome and define measurable acceptance criteria for accuracy, response time, reliability, and budget. I then test representative audio and workloads across appropriate model and deployment options, quantify the trade-offs, and recommend a configuration that meets the critical constraints. I document assumptions and establish monitoring so the customer can revisit the decision as traffic and use cases evolve.
I would identify the common technical pattern from support cases and quantify its impact. After creating a reproducible example, I would build a durable solution such as sample code, validation tooling, a Helm configuration, or a troubleshooting guide, and partner with Product and Engineering if a platform change is needed. I would measure whether the asset reduces time to resolution and update the playbook based on customer feedback.
About this role.
Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing 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’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. 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. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Note: this is a remote role that is to be based out of one of the following countries:
United Kingdom
Ireland
Scotland
Switzerland
Germany
Austria
Netherlands
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.
How We Work
Remote across EMEA with periodic regional meetups.
Collaboration with colleagues in the Americas and APAC to support continuous coverage.
Shared playbooks, defined escalation paths, and measurable SLAs.
Interview Process
Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.
Panel interviews with cross‑functional partners.
A 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.
If this sounds like you, we would love to meet you!
Notice: We’re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you’ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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