Solutions Engineer, Enterprise
Role details
Job location
Tech stack
Job description
- Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers.
- Technical integration and deployment: Own the 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, 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.
You'll Love This Role If You
- You are hands-on. You write code, read logs, and ship fixes - you don't just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it.
- You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product.
- You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer's Slack channel walking their team through an API integration.
Requirements
Do you have experience in Software coding?, * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output.
- Customer obsession: Deep, personal commitment to your customers' technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof.
- High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones.
- Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable.
It Would Be Great if You Had
- Experience with voice AI, speech-to-text, NLP, or conversational AI systems.
- Previous early-stage startup or founder-led environment experience - you thrive in environments where you wear many hats and build from zero.
- Previous experience embedded within a large enterprise customer's product deployment.
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Life insurance, * $165K - $220K * Offers Equity * Offers Commission, * Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
Work/life blend
- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
Continuous learning
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Learning / Education stipend
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Participation in talks and conferences
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Employee Resource Groups
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AI enablement workshops / sessions
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For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region - in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!