Partner Success Engineer (Infrastructure)
Deepgram · Remote · USA - Remote ·
COMPENSATION
$195k – $235k
Listed on the employer's job board (Ashby)
- Fully remote
- Senior level role
- Infrastructure focus
- AI-native culture
- Strategic partners
As a Partner Success Engineer, you will act as the technical advisor for Deepgram's strategic infrastructure partners. You will drive joint adoption by guiding deployment architecture, troubleshooting integrations, and leading technical validations for self-hosted, on-premises, and edge environments.
This role requires blending deep technical expertise with strategic partner management. You will own the full partner lifecycle, from onboarding to expansion, while building AI-driven tools to eliminate recurring work and scale team impact.
What you'll do
- Serve as technical advisor for strategic infrastructure partners, engaging developers to CTOs
- Own the full partner lifecycle including onboarding, adoption, enablement, and expansion
- Drive joint adoption through demos, workshops, and deployment architecture guidance
- Lead technical validations and POCs for self-hosted, air-gapped, and edge deployments
- Identify expansion opportunities and activate partner channels like OEMs and distributors
- Support joint go-to-market efforts with marketing through blogs, PR, and live demos
- Act as the voice of the partner internally to influence product roadmap and GTM strategy
- Build AI tools and workflows to automate recurring tasks and increase team leverage
What you'll need
- 7+ years in technical customer-facing roles at API-driven or infrastructure companies
- Track record blending partner ownership with technical depth in solution design
- Experience leading demos, POCs, or technical workshops with enterprise partners
- Fluency in APIs, integrations, and troubleshooting L1-style issues without coding
- Understanding of containers, Kubernetes, GPU inference, and deployment trade-offs
- Success in identifying and landing expansion in complex enterprise accounts
- Strong grasp of partner ecosystems, channel models, and multi-party dynamics
- Ability to communicate effectively with both technical stakeholders and executives
- Proven ability to build tools or scripts that permanently eliminate recurring work
- AI-native operating model with specific workflows dependent on AI tools
Nice to have
- Experience in machine learning, voice AI, or developer-first technologies
- Familiarity with GPU infrastructure, quantization, and inference optimization
- Exposure to confidential computing or deployments in regulated industries
- Experience with on-device or edge AI deployment across CPU/GPU/NPU targets
- Background in Telephony, CCaaS, or CPaaS sectors like Twilio or Genesys
- Familiarity with channel marketing, enablement programs, or asset creation
- Working fluency with automation, scripting, or agent-building in Python or TypeScript
Stack
- Docker
- Kubernetes
- Helm
- Python
- TypeScript
How you'll work
- Fully remote position
- AI-first mindset required for daily operations
- Fast-paced environment with rapid changes
- Travel to partner sites and events as needed