Forward-Deployed Engineer (FDE), Strategic Accounts
Deepgram · San Francisco, CA
About this role
## Company Overview Deepgram is the leading platform underpinning the emerging Voice AI economy, providing real-time APIs for **speech-to-text (STT)**, **text-to-speech (TTS)**, and building production-grade voice agents at scale. With **200,000+ developers** and **1,300+ organizations** building voice offerings “**Powered by Deepgram**,” Deepgram has processed **50,000+ years of audio** and transcribed **1 trillion+ words**. ## Operating Rhythm (AI-first) At Deepgram, an **AI-first mindset** is core to how teams operate and measure performance. You’ll be expected to actively use and experiment with advanced AI tools, integrate AI into your workflows, and continuously push what these technologies can do. ## The Opportunity: Forward-Deployed Engineer (FDE), Strategic Accounts This role is about building **everything between the platform and a customer’s success**—including **solutions, integrations, and tooling** that run in production for some of the largest enterprises. As a **Forward-Deployed Engineer**, you’ll embed with **one strategic customer at a time**, working directly with their technical and business teams alongside Deepgram’s research teams. Today’s engagements often involve **restaurant enterprises and restaurant technology partners**. ### What “Forward-Deployed” Means - You work **with** the customer (not just for them) - You’re on-site regularly and close enough to the business to spot issues early - You’ll have a **senior Forward-Deployed Engineer** reviewing your work before it ships - The platform isn’t fixed—when your customer needs something new, you’ll prove what should come next and help shape Deepgram’s offering ## What You’ll Do - **Build and ship** whatever the solution needs: end-to-end services, integrations, internal tooling, agent + prompt engineering - **Design, develop, and maintain** production-scale integrations with third-party systems (e.g., **point of sale, loyalty, payment gateways, customer data platforms**) - Spend regular time **on site** with your customer - **Monitor, debug, and optimize** what you ship in production (including challenging audio environments like noisy, multi-mic, drive-thru) - Partner with **research and product** to push the platform forward and feed learnings back into product - **Test against live production data** and measure impact on **accuracy, latency, and throughput** ## Time Allocation - **Embedded customer delivery (60–80%)**: delivery + turning field learnings into reusable solutions, automation, and documentation - **Scoping and expansion support (10–25%)**: help shape statements of work and identify expansion opportunities - **Internal collaboration (~15%)**: product feedback, knowledge sharing, and Applied Engineering strategy ## On-Site Expectation - On-site **at least once or twice a month** - During peaks (launches, critical integrations, high-stakes pilots), on-site time can reach **up to 80%** - Maintains an **in-office presence** in either **San Francisco or New York City** ## First 90 Days **First 30 Days** - Complete accelerated onboarding (first two weeks) - Shadow the active engagement - First customer site visit with a senior FDE - Take ownership of your first workstream (integration/tool/production issue) **60 Days** - Own a meaningful slice of the customer solution - Ship work that runs in production - Join the on-site rhythm and build relationships **90 Days** - Operate independently - Run your own on-site visits and own your slice end-to-
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