Senior Forward Deployed Engineer, Enterprise Deployments

Deepgram; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Deepgram is seeking an engineer to embed with customer engineering teams and act as a trusted technical peer. You will own the end-to-end technical path from discovery through go-live, integrating our voice AI platform with enterprise systems and POS workflows, and you will troubleshoot deployments in real time.

You will translate field learnings into product improvements, build reference architectures and playbooks, and ensure every deployment delivers measurable value from day one.

Qualifications

• Technical depth: You are an excellent software engineer.
• Customer obsession: Deep, personal commitment to your customers’ technical success.
• High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure.

Responsibilities

• Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer.
• Technical integration and deployment: End-to-end implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization.
• Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between.
• Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary.
• Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers.
• Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building.

Job description

Deepgram is seeking an engineer to embed with customer engineering teams and act as a trusted technical peer. You will own the end-to-end technical path from discovery through go-live, integrating our voice AI platform with enterprise systems and POS workflows, and you will troubleshoot deployments in real time.

You will translate field learnings into product improvements, build reference architectures and playbooks, and ensure every deployment delivers measurable value from day one.