Deepgram Deepgram seeks Forward-Deployed Engineers to embed with strategic customers and deliver production-scale voice AI integrations. The role focuses on building solutions, integrations, and tooling that run in production for large enterprises.
Responsibilities
Most engineering roles ask you to build the platform. This one asks you to build everything between the platform and a customer's success: the solutions, integrations, and tooling that run in production for some of the largest enterprises in the world.
Deepgram is seeking Forward-Deployed Engineers for our strategic accounts. You'll embed with one strategic customer at a time, working directly with their technical and business teams, alongside Deepgram's core research teams. Today's engagements center on leading restaurant enterprises and restaurant technology partners (we already partner with several of the world's leading restaurant brands), and the examples in this posting come from that work.
As a Forward-Deployed Engineer, you'll take Deepgram's voice AI platform the last mile. That means production-scale integrations with the systems that your customer actually runs on (today, that's point of sale, loyalty, payment gateways, and customer data platforms), voice agents that take live orders from customers every day, and everything in between: the tooling, prompt engineering, and evaluation work that bridges what Deepgram offers today and what makes your customer successful tomorrow.
Forward-deployed means you do this work with your customer, not just for them. You'll be on site regularly, embedded with their technical team, and close enough to the business to see problems before they become escalations. You'll also have a senior Forward-Deployed Engineer alongside you, reviewing your work before it ships and bringing you into customer meetings. And the platform is not a fixed product that you implement. When your customer needs a capability that the platform does not offer yet, you'll be the one who proves what it should do next, and what you build and learn in the field becomes part of Deepgram's offering for every customer after yours.
About Forward-Deployed Engineering at Deepgram
Forward-Deployed Engineering is how Deepgram embeds with its most strategic accounts. You'll fully deploy into a dedicated account pod (a small, cross-functional team built around one strategic customer) for a defined stretch, working inside of that account's day to day with a high degree of autonomy. Full deployment means exactly that: while you're deployed, your pod's account is your only customer assignment, with no time split across other accounts or teams. Your work directly shapes how some of the world's largest brands put voice AI in front of their customers.
Forward-Deployed Engineers are part of our broader Applied Engineering team, which serves as the technical interface between Deepgram and our customers across their entire journey (it combines what other companies split into Forward-Deployed Engineering, Sales Engineering, Solutions Architecture, Implementation, and Technical Support). Applied Engineering is your home team and your growth path. You'll be hired into the Applied Engineer position, which has a single growth ladder from Associate through Principal, and you'll grow proficient across multiple roles over time. The pod is where you're deployed; Applied Engineering is where you grow.
Build and ship whatever the solution needs, whether that's an end-to-end service, an integration, internal tooling, or agent and prompt engineering
Design, develop, and maintain production-scale integrations with the third-party systems that your customer runs on (in today's pods: point of sale, loyalty, payment gateways, customer data platforms)
Spend regular time on site with your customer, working directly with their technical and business teams
Monitor, debug, and optimize what you ship in production, including some of the hardest audio environments in voice AI (noisy, multi-mic, drive-thru)
Work with our research and product teams to push the platform where your customer needs it to go, and feed what you learn in the field back into the product
