Solutions Architect

Summary

Join Deepgram, a leading voice AI platform company, as a Solutions Architect in EMEA. This role involves owning complex post-sales engagements, guiding customers to production, and strengthening technical support. You will work across the customer lifecycle, focusing on architecture, implementation, and Tier-3 problem-solving. You'll also contribute to pre-sales validation, partner with Product and Engineering, and help mature global operations. The position requires strong technical skills and experience in solutions architecture, software engineering, and cloud platforms. Deepgram offers a remote work environment within EMEA with opportunities for regional collaboration and professional development. The company is expanding globally and building a true follow-the-sun model.

Requirements

• 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

Responsibilities

• 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

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

Benefits

• 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