Company Overview

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

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

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