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Partner Success Engineer (AWS)

Deepgram - Remote - Remote - posted 2026-08-25

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Deepgram is the leading platform for Voice AI, providing real-time APIs for speech-to-text, text-to-speech, and voice agents at scale. The company has processed over 50,000 years of audio and serves 200,000+ developers and 1,300+ organizations including Twilio, Cloudflare, and Vapi. You will own the AWS partnership end-to-end as a single accountable owner. This is not a supporting role—you inherit a $15M portfolio and become the primary decision-maker and escalation point for all AWS-related matters. The role combines technical expertise with commercial responsibility, covering both adoption and revenue outcomes. Key responsibilities include: owning the full AWS relationship lifecycle (technical adoption, commercial outcomes, retention, expansion); serving as trusted advisor to AWS stakeholders from solutions architects to senior leadership; driving joint adoption through demos, workshops, architecture guidance, and troubleshooting; managing the Marketplace and co-sell motion (listings, private offers, deal structuring, commit drawdown); navigating three-way dynamics between Deepgram, AWS, and end customers; running partner business reviews and joint planning; acting as the internal voice of the partner to influence roadmap and GTM strategy; and tracking adoption, usage, health, and expansion metrics. You should have been an accountable owner of a strategic relationship (not a supporting resource), with genuine technical consulting fluency in APIs and developer workflows, and an AI-native operating model where you instinctively build systems to eliminate recurring work. Prior titles may include Partner Development Manager, Alliances/Channel lead, Partner Success Manager, Technical Account Manager, Partner Solutions Architect, or Strategic Account Manager. The company values people who thrive on bringing definition to ambiguity, form points of view, operate outside comfort zones, and learn fast. Deepgram operates at the pace of AI with rapid change and expects all team members to actively use and experiment with advanced AI tools.

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