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$195,000 – $235,000
Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role partners with infrastructure and hardware vendors to drive adoption of Deepgram's voice AI platform across self-hosted, on-premises, and edge deployments. You'll combine technical consulting, strategic account ownership, and AI-native workflows to unblock complex integrations, run technical validations, and scale channel partnerships with silicon, cloud, and inference platform providers.
Our summary, not Deepgram’s wording. The full posting is on their site.
What they ask for
Required
- 7+ years in technical customer-facing roles (TAM, sales engineering, partner/enterprise CS, implementation, or support)
- Track record blending partner or customer ownership with technical depth
- Hands-on experience running demos, POCs, or technical workshops
- Fluency discussing APIs, integrations, and developer workflows
- Understanding of deployment infrastructure: containers, orchestration, GPU/accelerator inference, self-hosted vs on-prem vs edge trade-offs
- Demonstrated success identifying and landing expansion in complex accounts
- Strong understanding of partner ecosystems and channel business models
- Ability to engage both technical stakeholders and executive buyers
- Exceptional communication and relationship-building skills
- Built a tool, agent, script, or workflow that eliminated recurring work
- AI-native operating model with specific AI-dependent workflows
Nice to have
- Experience in machine learning, voice AI, cloud infrastructure, or developer-first technologies
- Familiarity with GPU/accelerator infrastructure and inference optimization
- Knowledge of confidential computing, trusted execution environments, or model security
- Experience with on-device or edge AI deployment
- Telephony/CCaaS/CPaaS background (e.g., Twilio, Genesys)
- Background spanning solutions engineering, TAM, or L1 support
- Familiarity with channel/partner marketing or technical enablement
- Working fluency with automation, scripting, or agent-building (Python, TypeScript, workflow tools)