Salary
💰 $140,000 - $200,000 per year
Tech Stack
CloudDockerJavaScriptKubernetesPythonTypeScript
About the role
- 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.