Customer Success Engineer ( London)

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy providing real-time APIs for speech-to-text (STT) text-to-speech (TTS) and building production-grade voice agents at scale. More than 200000 developers and 1300 organizations build voice offerings that are Powered by Deepgram including Twilio Cloudflare Sierra Decagon Vapi Daily Cresta Granola and Jack in the Box. Deepgrams voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software with unmatched accuracy low latency and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners Deepgram has processed over 50000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

At Deepgram we expect an AI-first mindsetAI use and comfort arent optional theyre core to how we operate innovate and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools and even build your own into your everyday work. We measure how effectively AI is applied to deliver results and consistent creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly integrating AI into their workflows and continuously pushing the boundaries of what these technologies can do.

Additionally we move at the pace of AI. Change is rapid and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if youre not excited to experiment adapt think on your feet and learn constantly or if youre seeking something highly prescriptive with a traditional 9-to-5.

Our Customer Success team The Heartbeat of Deepgram sits at the intersection of customers product and growth. We dont just manage accounts. We make Deepgram succeed inside our customers environments by combining deep technical expertise commercial instinct and an AI-native way of working and by building the systems that make the whole teams work compound over time.

A Customer Success Engineer is a hands-on partner who drives adoption solves hard technical problems uncovers expansion and owns a portfolio of strategic enterprise accounts end to end.

Youre not a traditional CSM or Technical Account Manager. You operate at the intersection of three competencies and youre genuinely strong across all three:

1. Expert technical consulting you run demos guide architecture discussions troubleshoot integrations and help customers deploy AI-driven solutions. No coding required but youre fluent in APIs developer workflows and real technical conversations.

2. Strategic account management you build trust from individual developers up to CTOs own the full customer lifecycle and turn technical adoption into commercial growth.

3. AI-native operating model AI is how you work not a tool you occasionally reach for. When you hit recurring work your instinct is to build the system that removes it.

You may have been a Technical Account Manager Solutions or Sales Engineer Forward Deployed Engineer Implementation Engineer strategic CSM or Product Manager. Whatever your path youre probably strongest in one or two of these competencies but you can demonstrate all three and youre eager for a role where you deploy them concurrently.

You thrive on bringing definition to ambiguity. You form a point of view and bring a recommendation rather than staying in open-ended discovery mode. Youre comfortable operating outside your comfort zone you question the status quo and you learn fast.

• Serve as the technical advisor and strategic owner for a portfolio of enterprise accounts partnering with everyone from developers to CIOs and CTOs.

• Own the full customer lifecycle: onboarding adoption technical enablement expansion and advocacy.

• Drive adoption through live demos workshops architecture guidance troubleshooting and best-practice recommendations making Deepgram successful inside the customers environment.

• Run discovery continuously: surface customer problems understand their business impact and translate them into actionable requirements for product and engineering.

• Identify and scope expansion (cross-sell upsell multi-product) in partnership with Sales and lead executive business reviews and joint planning sessions.

• Act as the voice of the customer internally influencing roadmap GTM strategy and the tools we build to support customers.

• Track adoption usage health and expansion to drive outcomes; travel to customer sites as needed.

• Operate AI-first by default and build tools agents and workflows that eliminate recurring work for you and the broader CS team. Your impact is measured by the leverage you create not just the accounts you serve.

• Significant experience in technical customer-facing roles TAM sales/solutions engineering enterprise CS with a strong technical focus implementation or forward-deployed work at API-driven developer-first or AI companies. For most people thats roughly 7 years but we care more about the shape of your experience than the exact number.

• A track record that blends customer ownership with technical depth: solution design hands-on troubleshooting and commercial growth.

• Hands-on experience running demos POCs or technical workshops with enterprise customers leading them not just attending.

• Demonstrated success identifying and landing expansion in complex enterprise accounts.

• Fluency discussing APIs integrations and developer workflows and troubleshooting L1-style issues (no coding required but genuinely conversant not hand-waving).

• Experience engaging both technical stakeholders (developers architects) and executive buyers (CIO CTO VP Engineering).

• Exceptional communication influence and relationship-building concise and structured across technical and business audiences.

• Something youve built a tool agent script or workflow that permanently eliminated recurring your application tell us what it was what it replaced and what its still doing today.

• An AI-native operating model: specific workflows that structurally depend on AI and a clear account of how youd rebuild them if those tools disappeared tomorrow.

• Experience in machine learning voice AI cloud infrastructure or developer-first technologies.

• A background spanning solutions engineering TAM or L1 support alongside CS responsibilities.

• Working fluency with automation scripting or agent-building (Python TypeScript workflow tools agent frameworks or equivalent). You dont need to be a software engineer just dangerous enough to ship working systems.

Notice: Were aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @ email address. If youve received a message claiming to be Deepgram please forward it to

Required Experience:

IC