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This position was posted on March 28, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
New York City, NY
Job Type
Full-time
Category
Software Engineering
Date Posted
March 28, 2026
Full Job Description
đź“‹ Description
- • As a Solutions Engineer, Enterprise at Deepgram, you will be the technical linchpin ensuring enterprise restaurant customers successfully deploy and derive measurable value from Deepgram’s voice AI platform—turning complex integrations into seamless, production-grade experiences that power real-world voice applications at scale.
- • You will embed directly with customer engineering teams as a trusted technical peer, leading discovery, scoping, and solution design for prospects and enterprise clients, translating business needs into technical architectures that align with Deepgram’s STT, TTS, and voice agent capabilities.
- • You will own the end-to-end technical implementation lifecycle—from initial API integration and SDK configuration through deployment, go-live, optimization, and ongoing production support—ensuring Deepgram’s platform works flawlessly within complex restaurant tech stacks including POS systems, ordering flows, and menu structures.
- • You will adapt and customize Deepgram’s platform to meet unique operational constraints, writing code, debugging production issues, and resolving edge cases in real time, serving as the primary escalation point for complex technical challenges during and after deployment.
- • You will codify successful deployment patterns into reusable tools, reference architectures, playbooks, and building blocks that enable faster, more reliable scaling across large restaurant fleets and technology ecosystems, directly influencing product evolution.
- • You will act as the critical feedback loop between customers and Deepgram’s product and engineering teams, translating real-world deployment challenges into actionable requirements that shape future platform improvements and innovation.
- • You will partner closely with Sales, Product, and Engineering, operating with extreme ownership and urgency—treating every deployment as if your name is on the product—while comfortably engaging in customer Slack channels, walking technical teams through API integrations, and advocating for customer success.
- • You will thrive in an AI-first environment where experimentation, rapid learning, and adapting to evolving AI tools are not just encouraged but expected—continuously pushing the boundaries of what voice AI can do in enterprise settings.
- • You will work remotely with a base in New York City, enabling close proximity to key customers and partners, while embracing up to 50% travel for onsite engagements, sales support, and deep technical collaborations.
🎯 Requirements
- • Strong software engineering background with hands-on experience working across APIs, SDKs, webhooks, cloud infrastructure, and diverse customer tech stacks.
- • Proven ability to write code, debug production issues, and ship fixes—demonstrating extreme ownership and a bias for action when solving customer technical problems.
- • Deep customer obsession: a personal commitment to technical success, taking ownership of customer outcomes and persisting until deployments are bulletproof and deliver measurable value.
- • High slope learner: ability to rapidly adapt, learn new tools and models (including AI coding assistants), and thrive in ambiguous, fast-changing environments without needing constant structure.
- • Excellent communication and trust-building skills: ability to engage credibly with both technical and non-technical stakeholders, remaining calm under pressure and consistently reliable.
🏖️ Benefits
- • Holistic health benefits including medical, dental, vision, annual wellness stipend, mental health support, and life/STD/LTD income insurance plans.
- • Work-life blend perks: unlimited PTO, generous paid parental leave, flexible schedule, 12 paid US company holidays, quarterly personal productivity stipend, home office upgrade stipend, 401(k) with company match, and tax savings programs.
- • Continuous learning support: learning/education stipend, participation in talks and conferences, employee resource groups, and AI enablement workshops/sessions.
Skills & Technologies
About Deepgram Inc.
Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.
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