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Solutions Engineer, Enterprise

Pełny etat Praca stacjonarna

Data publikacji: 30.08.2026

You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life.

Responsibilities

Mission: ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one; Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer, lead technical discovery and solutioning; Technical integration and deployment: Own end-to-end technical 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; Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments, serve as an escalation point; Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks; Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements

Requirements

AI-first mindset; Technical depth: excellent software engineer, comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks; Customer obsession: deep, personal commitment to customers’ technical success; High slope: learns fast, adapts quickly, stays effective in ambiguity; Communication and trust: able to build deep credibility with both technical and non-technical stakeholders

Nice to have

Experience with voice AI, speech-to-text, NLP, or conversational AI systems; Previous early-stage startup or founder-led environment experience; Previous experience embedded within a large enterprise customer’s product deployment
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