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This position was posted on April 15, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Deepgram Inc. logo

Solutions Architect (San Francisco, CA)

Job Overview

Location

USA | Remote

Job Type

Full-time

Category

Other Engineering

Date Posted

April 15, 2026

Full Job Description

📋 Description

  • The Solutions Architect (Applied Engineer) role at Deepgram is a customer-facing technical position focused on resolving complex post-sales technical challenges while building scalable support solutions and automation to enhance customer experience and team efficiency.
  • Day to day, you will own complete post-sales customer engagements, lead technical resolution of escalated support issues, design and implement automation and self-service tools, analyze support ticket patterns for product improvements, create technical documentation, collaborate with product and engineering teams to advocate for customer needs, and occasionally assist with pre-sales and implementation projects.
  • Deepgram is a leader in the Voice AI economy, providing real-time speech-to-text, text-to-speech, and voice agent APIs used by over 200,000 developers and 1,300+ organizations including Twilio, Cloudflare, and Jack in the Box. The company operates with an AI-first mindset, expects rapid adaptation to new technologies, and values continuous learning and experimentation.
  • The Applied Engineering (AppEng) team unifies solutions engineering, sales engineering, implementation, and technical support to serve as the technical interface between Deepgram and its customers. In this role, you will elevate technical support capabilities, influence customer support strategy, and contribute to broader pre-sales and implementation initiatives while gaining exposure to the full customer lifecycle.

Skills & Technologies

Python
JavaScript
TypeScript
Rust
AWS
Senior
Remote

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Deepgram Inc. logo
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About Deepgram Inc.

Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.

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