Partner Success Engineer (Infrastructure)

TL;DR

Partner Success Engineer (Infrastructure): Managing strategic infrastructure partnerships to drive adoption of Voice AI models across cloud, on-prem, and edge environments with an accent on technical consulting and channel growth. Focus on leading technical validations (POCs), designing deployment architectures on GPU/accelerator platforms, and building AI-native workflows to scale partner operations.

Location: Remote (USA)

Salary: $195,000 – $245,000 OTE

Company

Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents.

What you will do

• Act as the technical advisor and strategic owner for infrastructure partners across silicon, cloud, and hardware sectors.
• Drive joint adoption through live demos, workshops, and deployment architecture guidance.
• Lead technical validation and POCs for self-hosted, on-prem, and edge deployments, including security-sensitive use cases.
• Translate partner technical problems into actionable requirements for product and engineering teams.
• Identify and scope expansion opportunities (upsell, cross-sell) and activate partner channels such as OEMs and marketplaces.
• Operate AI-first by building tools, agents, and workflows that eliminate recurring manual work for the team.

Requirements

• Must be based in the USA.
• 7+ years of experience in technical customer-facing roles (TAM, Solutions/Sales Engineering, or Enterprise CS) at API-driven or infrastructure companies.
• Strong fluency in APIs, containers and orchestration (Docker, Kubernetes/Helm), and GPU/accelerator inference.
• Proven experience managing partner ecosystems and channel business models (resale, referral, co-selling).
• Track record of leading POCs, technical workshops, and engaging both technical stakeholders and executive buyers (CTO, CIO).
• Demonstrated AI-native operating model with a history of building automation tools to eliminate recurring tasks.

Nice to have

• Experience in machine learning, Voice AI, or developer-first technologies.
• Knowledge of GPU optimization, quantization, and model serving.
• Experience with confidential computing or edge AI deployment across CPU/GPU/NPU targets.
• Background in Telephony, CCaaS, or CPaaS (e.g., Twilio, Genesys).
• Working fluency with Python, TypeScript, or agent-building frameworks.

Culture & Benefits

• AI-first culture where active experimentation with advanced AI tools is a core performance metric.
• High-velocity environment characterized by rapid change and an iterative mindset.
• Competitive compensation package including base salary, 10% bonus, and equity.
• Remote-first flexibility with a focus on creating leverage through automation and AI.