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Описание вакансии
Текст:
TL;DR
Customer Engineer (Voice AI): Leading technical deployments of voice AI platforms for enterprise restaurant brands with an accent on API integration, POS systems, and production troubleshooting. Focus on building scalable reference architectures, codifying deployment playbooks, and acting as the technical bridge between customer engineering teams and internal product development.
Location: Must be based in New York City, NY or San Francisco, CA
Compensation: $197,000 – $246,000 base salary + 10% annual bonus + equity
Company
Deepgram is a leading Voice AI platform providing real-time speech-to-text and text-to-speech APIs for over 1,300 organizations, powering the trillion-dollar Voice AI economy.
What you will do
- Embed with enterprise restaurant brands to lead technical discovery and end-to-end implementation of voice AI solutions.
- Configure and customize platform integrations, including menu structures, ordering flows, and POS systems.
- Monitor, troubleshoot, and resolve technical issues in live production environments.
- Codify deployment patterns into reusable tools, playbooks, and reference architectures for the broader team.
- Act as the primary technical feedback loop, translating real-world deployment challenges into product requirements.
Requirements
- Must be based in New York City or San Francisco.
- Excellent software engineering skills with experience across APIs, SDKs, webhooks, and cloud infrastructure.
- Deep commitment to customer technical success and ability to own outcomes in ambiguous environments.
- Ability to travel occasionally for customer meetings, sales engagements, and onsite interactions.
- High adaptability and comfort working in a fast-paced, AI-first environment.
Nice to have
- Experience with voice AI, speech-to-text, NLP, or conversational AI systems.
- Background in early-stage startups or founder-led environments.
- Previous experience embedded within a large enterprise customer’s product deployment.
Culture & Benefits
- AI-first culture where active experimentation with advanced AI tools is core to daily operations.
- Opportunity to work with high-scale enterprise deployments and complex real-world systems.
- Direct ownership of customer outcomes and technical strategy.
- Competitive compensation package including base salary, annual bonus, and equity.
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