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Solutions Architect, Applied Engineering

August 15

đŸ—ŁïžđŸ‡ŻđŸ‡” Japanese Required

đŸ—ŁïžđŸ‡°đŸ‡· Korean Required

đŸ—ŁïžđŸ‡šđŸ‡ł Chinese Required

đŸ—ŁïžđŸ‡źđŸ‡ł Hindi Required

Apply Now
Logo of Deepgram

Deepgram

Artificial Intelligence ‱ SaaS ‱ API

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

51 - 200 employees

Founded 2015

đŸ€– Artificial Intelligence

☁ SaaS

🔌 API

💰 $47M Series B on 2022-11

📋 Description

‱ Lead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) 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 APAC 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 and languages. ‱ Participate in an on-call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.

🎯 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 JavaScript/TypeScript, Python or TypeScript. 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. ‱ 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 APAC enterprise reviews. ‱ Fluency in one additional Asian language such as Japanese, Korean, Mandarin, or Hindi.

đŸ–ïž Benefits

‱ Offers Equity ‱ Offers Bonus

Apply Now

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