We’re a foundational AI company whose mission is to make every voice heard and understood. Our end-to-end deep neural network is redefining what companies can do with voice by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We believe corporations who harness the power of their audio data will improve the way we all live and work. Together, we’ll unlock unique languages, accents, and dialects all over the world for better communication and better experiences.
Company Overview
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Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
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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 role is based out of the EMEA territory.
The Opportunity
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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
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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
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- 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
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- 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
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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
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- 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
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- 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
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- 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
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- 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
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- 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!
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
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