3 months ago
Base Salary
$195k - $235k/yr
Responsibilities
- Own a portfolio of strategic infrastructure partners as their technical advisor and strategic relationship owner.
- Manage the full partner lifecycle from onboarding and adoption through enablement, expansion, and advocacy.
- Drive adoption through demos, workshops, deployment architecture guidance, benchmarking, troubleshooting, and best-practice recommendations.
- Lead technical validations and proof-of-concepts for Deepgram models across self-hosted, on-premises, air-gapped, dedicated, and edge deployments.
- Continuously identify partner needs and translate them into actionable requirements for product and engineering.
- Identify expansion opportunities and activate OEM, distributor, marketplace, cloud, and inference-provider channels with Sales.
- Lead executive business reviews and joint planning sessions.
- Support joint go-to-market and co-marketing activities with Marketing, including content, public relations, events, and live demonstrations.
- Represent partner needs internally and influence deployment, self-hosted, security, edge, go-to-market, and partner-support roadmaps.
- Track adoption, usage, health, and expansion, and travel to partner sites and events as needed.
- Build AI-powered tools, agents, and workflows that eliminate recurring work for the team.
Requirements
- Significant technical customer-facing experience, typically roughly seven or more years, in roles such as TAM, solutions or sales engineering, deployment, partner or enterprise customer success, implementation, support, or infrastructure engineering.
- Experience combining partner or customer ownership with solution and deployment design, hands-on troubleshooting, and commercial growth.
- Experience leading enterprise demos, proof-of-concepts, evaluations, or technical workshops.
- Fluency with APIs, integrations, and developer workflows, including troubleshooting first-line technical issues without requiring coding.
- Working knowledge of Docker, Kubernetes, Helm, GPU or accelerator inference, and deployment trade-offs across self-hosted, on-premises, air-gapped, dedicated, and edge environments.
- Demonstrated success identifying and landing expansion in complex enterprise or partner accounts.
- Understanding of partner ecosystems and channel models including resale, referral, integrations, co-marketing, and co-selling.
- Experience engaging technical stakeholders and executive buyers.
- Strong communication, influence, and relationship-building skills across technical and business audiences.
- Experience building a tool, agent, script, or workflow that permanently eliminated recurring work.
- An AI-native operating model with workflows that structurally use AI.
- Preferred experience in machine learning, voice AI, cloud infrastructure, developer-first technologies, GPU or accelerator optimization, confidential computing, edge AI, telephony, CCaaS, CPaaS, channel marketing, technical enablement, automation, scripting, or agent-building.
- Preferred familiarity with quantization, model serving, throughput and latency tuning, benchmarking, trusted execution environments, model security, hardware optimization toolchains, Twilio, or Genesys.
Tech Stack
Categories
Solutions Engineering
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.