At a Glance
- Tasks: Drive customer success by solving technical problems and enhancing AI adoption.
- Company: Join Deepgram, a leader in the Voice AI economy with a vibrant culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Dynamic environment with a focus on continuous learning and experimentation.
- Why this job: Be at the forefront of AI innovation and make a real impact on enterprise accounts.
- Qualifications: Experience in technical customer-facing roles and a passion for AI-driven solutions.
The predicted salary is between 63000 - 77000 £ per year.
Company Overview
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 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by the company’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. the company’s 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, the company has processed over 50,000 years of audio and transcribed more than 1 trillion words.
There is no organization in the world that understands voice better than the company.
Company Operating Rhythm
At the company, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at the company 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 you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Our Customer Success team — The Heartbeat of the company — sits at the intersection of customers, product, and growth.
We don't just "manage accounts." We make the company 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 team's 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.
Who You Are
You're not a traditional CSM or Technical Account Manager. You operate at the intersection of three competencies, and you're genuinely strong across all three:
- Expert technical consulting — you run demos, guide architecture discussions, troubleshoot integrations, and help customers deploy AI-driven solutions.
No coding required, but you're fluent in APIs, developer workflows, and real technical conversations.
- Strategic account management — you build trust from individual developers up to CTOs, own the full customer lifecycle, and turn technical adoption into commercial growth.
- 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, you're probably strongest in one or two of these competencies — but you can demonstrate all three, and you're 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.
You're comfortable operating outside your comfort zone, you question the status quo, and you learn fast.
What You'll Do
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 the company successful inside the customer's 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.
What We're Looking For
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 that's 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 you've built — a tool, agent, script, or workflow — that permanently eliminated recurring work.
In your application, tell us what it was, what it replaced, and what it's still doing today.
- An AI-native operating model: specific workflows that structurally depend on AI, and a clear account of how you'd rebuild them if those tools disappeared tomorrow.
- Nice to Have
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, Type Script, workflow tools, agent frameworks, or equivalent).
You don't need to be a software engineer — just dangerous enough to ship working systems.
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Customer Success Engineer ( London) employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Customer Success Engineer ( London)
✨Get to Know the Company Culture
Before jumping into applications, it’s super helpful to understand the vibe at United States Digital Space LLC. Check out their social media, read reviews on sites like Glassdoor, and see how they engage with customers. It'll give you clues on their values and help tailor your conversation during interviews.
✨Join Customer Support Communities
Dive into online communities like those on Reddit or LinkedIn where customer support pros hang out. Participating in discussions or asking questions can make you more visible to potential recruiters and help you learn about job openings at companies like United States Digital Space LLC before they even post them.
✨Attend Job Fairs or Networking Events
Look out for local job fairs or events specifically for customer support roles. This is your chance to meet hiring managers face-to-face, and you might even get the opportunity to interview on the spot!
✨Show Off Your Skills with Customer Interactions
In the customer support world, showcasing your communication skills is key. Consider creating a short video introducing yourself or even doing a mock call to showcase your abilities. It's a memorable way to stand out, especially if you can share this during your interview process!
We think you need these skills to ace Customer Success Engineer ( London)
Some tips for your application 🫡
Show Off Your Communication Skills:In customer support, clear communication is key. Make sure your CV highlights any experience you've had in customer-facing roles and your ability to resolve issues. Don't shy away from including specific examples of how you've gone above and beyond to help customers – this really shows your potential in the role.
Tailor Your Cover Letter to United States Digital Space LLC:Your cover letter is your chance to shine! Tell us why you want to work at United States Digital Space LLC specifically. Mention any unique aspects of our company that resonate with you and how your skills can enhance our customer support. This personal touch will set your application apart from the rest!
Highlight Any Relevant Tools or Tech Skills:If you've used customer support software like Zendesk or Freshdesk or have experience with CRM systems, make sure to mention these in your application. Being familiar with industry-standard tools can be a big plus for us when we’re reviewing applications, as it shows you can hit the ground running!
Demonstrate Your Problem-Solving Skills:Customer support roles often require a knack for problem-solving. In your application, share examples of past experiences where you've tackled tough situations or resolved conflicts effectively. This will give us a good sense of how you handle challenges—an essential skill for success at United States Digital Space LLC!
How to prepare for a job interview at United States Digital Space LLC
✨Show Off Your People Skills
In customer support, it's all about communicating effectively. Prepare to share instances from your past experiences where you handled difficult customers or resolved conflicts. We want to hear how you empathised and found the best solutions, so think of specific examples to back up your stories!
✨Know the Tools of the Trade
Familiarise yourself with common customer support tools like Zendesk or Freshdesk, and make sure to review how you’ve used any similar systems in the past. During the interview, being able to discuss your hands-on experience with software or ticketing systems can really set you apart from the competition, so don’t skip this prep!
✨Show Genuine Enthusiasm
As this is a full-time role, employers want someone who isn’t just looking for any job, but wants to grow within customer support. Make sure to express your enthusiasm for helping customers and your desire to develop your skills. Show them why you're passionate about this field!
✨Practice Common Scenarios
Be prepared for role-playing scenarios where you might have to reassess a solution with a frustrated customer or explain a complex process in simple terms. Practising these common scenarios can help us feel more confident and demonstrate our practical skills effectively during the interview.
