Deepgram Inc. logo

Partner Success Engineer

Job Overview

Location

USA | Remote

Job Type

Full-time

Category

Sales

Date Posted

April 26, 2026

Full Job Description

đź“‹ Description

  • • As a Partner Success Engineer at Deepgram, you will serve as a technical expert and strategic advisor to strategic technology partners, driving joint adoption, enablement, and measurable business outcomes by aligning Deepgram’s voice AI solutions with partner goals across the full lifecycle—from onboarding to expansion.
  • • You will engage directly with developers, engineers, and executives, conduct on-site visits, run live product demos, troubleshoot technical issues, and translate partner feedback into actionable requirements for internal teams while serving as the voice of the partner in shaping product roadmap and GTM strategy.
  • • You will operate within Deepgram’s Customer Success team—known as The Heartbeat of Deepgram—where technical expertise meets commercial impact in an AI-first, fast-paced environment that values innovation, autonomy, and continuous learning.
  • • You will build scalable systems—such as internal tools, agents, dashboards, and automated workflows—that eliminate repetitive work and create leverage across the partner ecosystem, turning one-off interactions into repeatable, self-serve experiences while advancing your ability to lead with technical depth, emotional intelligence, and an AI-native mindset.

Skills & Technologies

Python
TypeScript
Remote

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Deepgram Inc. logo
Deepgram Inc.
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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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