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This is an early hire in the Deepgram For Restaurants business and the person will start off owning in-market customer deployments. You will lead end-to-end execution of our AI implementations – connecting dots and solving problems between the nexus of the customer (both corporate and in-store employees, and consumers) as well as the Deepgram for Restaurants product/software team. The mission of the job is to make the product work like magic at each customer deployment, build momentum to expand within each customer and open pathways into new logos.
Job Responsibility:
Deeply understand our customers business – even better than they do – and be an expert on Deepgram’s product offerings
Partner with our Sales, Product, and Engineering to scope, build, and ship AI agents that handle thousands of customer interactions a day
Serve as the primary point of contact for large enterprise stakeholders and ensure flawless delivery of complex AI solutions across enterprise deployments
Monitor performance, adoption, and feedback from live deployments
Translate field insights into actionable product requirements for eng/AI teams
Help define and refine ROI metrics that drive large expansion deals
Requirements:
Strong customer-facing instincts: can manage corporate relationships and can anticipate and avoid issues, deftly de-escalate problems, and build confidence and evangelical support from customer decision makers
Deep curiosity and operational empathy — loves to spend time in-store where the magic happens and you think of yourself as an AI user anthropologist
Although this is not explicitly a product management role, you have a product management “vibe” and any engineer interfacing with you would think you are a product manager
High slope: Learns fast, goes beyond role boundaries, thrives in ambiguity, play maker orientation, focus on doing what is right, intense need to win
Nice to have:
Experience in QSR, retail, or field operations
Previous early-stage startup experience
Exposure to data labeling, product ops, or implementation at tech co's
Consulting or entrepreneurial background (e.g., ex-BCG or former founder)