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Deepgram

Partner Success Engineer (Infrastructure)

USA | Remote (Remote)$195k–$235kfulltimemidAdded today

About this role

Deepgram seeks a Partner Success Engineer to drive adoption and expansion with strategic infrastructure partners (cloud, hardware, inference platforms) that enable secure, performant voice AI deployment. You'll combine deep technical expertise in deployment architectures with partner lifecycle management and an AI-native operating model to unlock channel growth in self-hosted, on-premises, and edge environments.

What you'll do

  • Own end-to-end partner relationships across infrastructure portfolios, from technical validation through joint go-to-market and co-sell
  • Design and guide deployment architectures for self-hosted, on-premises, dedicated, and edge voice AI implementations
  • Troubleshoot integrations and facilitate technical problem-solving across containers, orchestration, GPU/accelerator inference, and APIs
  • Build trust with technical stakeholders (developers, platform engineers, CTOs) and translate technical adoption into commercial expansion
  • Identify and define joint opportunities with partners in silicon, cloud, inference, and security platforms
  • Leverage AI tools to systematize recurring work and scale partner enablement

What they're looking for

  • Deep technical consulting and deployment architecture design
  • Fluency in APIs, containers, orchestration, and GPU/accelerator inference
  • Strategic partner and channel relationship management
  • Multi-stakeholder engagement (developers to C-suite)
  • Self-hosted, on-premises, and edge deployment knowledge
  • AI-first problem-solving and automation mindset
  • Comfort with ambiguity and rapid learning in fast-moving environments
  • Ability to operate across technical and commercial domains

Benefits

  • Remote work across USA
  • Opportunity to shape emerging voice AI infrastructure partnerships
  • Work with leading enterprise and platform partners (Twilio, Cloudflare, Vapi, Daily, etc.)
  • AI-native culture emphasizing innovation and continuous learning
  • High autonomy and impact on strategic channel growth
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Deepgram

Deepgram builds voice AI and speech processing technology, offering platforms that power real-time speech recognition and audio intelligence across cloud, edge, and embedded environments. The company is hiring applied ML engineers, backend engineers, embedded AI engineers, and customer-facing roles (customer success and pre-sales engineers) to scale its AI infrastructure and drive enterprise adoption.

View all jobs at Deepgram

Likely interview questions

  • Walk us through a time you helped a partner deploy complex infrastructure. How did you approach the technical and commercial dimensions simultaneously?
  • Describe your experience with self-hosted, on-premises, or edge deployments. What were the key technical constraints you solved for?