We’re a foundational AI company whose mission is to make every voice heard and understood. Our end-to-end deep neural network is redefining what companies can do with voice by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We believe corporations who harness the power of their audio data will improve the way we all live and work. Together, we’ll unlock unique languages, accents, and dialects all over the world for better communication and better experiences.
Company Overview
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Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
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At Deepgram, 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 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 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.
Note: this role is based out of the EMEA territory.
Opportunity
Deepgram is expanding globally and operating a follow-the-sun model. We are hiring a Pre-sales Solutions Engineer in EMEA to win complex technical evaluations, design clear solution paths, and drive repeatable adoption for strategic accounts. Our strategic Account Executives do not hand off their customers after the first sale, so you will partner long-term across discovery, POC, production launch, and expansion. You will focus on pre-sales, yet you will often step into post-sales style work when the stakes are high and continuity matters.
About Applied Engineering at Deepgram
Applied Engineering blends what many companies split into Solutions Engineering, Solutions Architecture, Solutions Consulting, and Technical Support. We are builders and communicators who bridge sales and engineering. We help customers move from problem to production with speed, clarity, and measurable outcomes.
What You’ll Do
- Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.
- Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.
- Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.
- Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.
- Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.
- Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.
- Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.
- Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.
- Enable the field. Collaborate with AEs, CSMs, and partners on positioning, demos, and technical validation for priority use cases.
Regional Expectations
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- Based in an EMEA time zone with strong overlap to customer business hours.
- Excellent written and spoken English. Additional European languages are a strong plus.
- Familiarity with procurement, InfoSec, and data privacy expectations across EMEA, including GDPR and data residency.
Your First 90 Days
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In the first weeks you will pick up low-risk customer tickets to learn our systems and support flow, then progress to pre-sales escalations tied to active opportunities and engagements driven by Account Executives or partners.
First 30 days
- Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.
- Shadow strategic discovery and POC calls.
- Triage and resolve low-risk tickets with a Solutions Architect or Support partner. Focus on reproductions, log and trace collection, SDK setup issues, and clear notes and handoffs.
- Publish one internal field guide that clarifies a common EMEA pre-sales topic (for example data residency, telephony capture, or evaluation metrics).
By day 60
- Own two evaluations end to end with defined success criteria and timelines.
- Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.
- Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.
- Deliver one live demo that becomes a reusable asset for the region. Pair with a Solutions Architect on a production launch to learn handoffs and escalation paths.
By day 90
- Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.
- Close at least one complex technical win with a measurable impact on revenue.
- Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.
- Convert repeated ticket patterns into a runbook, sample, or accelerator and present a short readout on the impact.
You Will Thrive Here If You
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- Enjoy the mix of customer conversations and hands-on building.
- Can move from whiteboard to working code and back without losing the thread.
- Communicate clearly with executives and deeply with engineers.
- Value speed with rigor and crisp documentation.
- Like winning together across regions and functions.
Minimum Qualifications
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- 5 or more years in Solutions Engineering or a similar customer-facing technical role focused on pre-sales.
- Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python, or Rust. You can build POCs and tools that real users run.
- Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.
- Proven track record leading POCs for enterprise customers and earning the technical win.
- Clear written and verbal communication across both technical and executive audiences.
Preferred Qualifications
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- Experience with speech recognition, TTS, voice quality analysis, or AI agents that orchestrate LLMs.
- Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.
- Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.
- Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.
- Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish.
How We Work
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- Remote across EMEA with periodic regional meetups.
- Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.
- Shared playbooks, defined escalation paths, and measurable SLAs.
Interview Process
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- Recruiter screen focused on experience, motivations, and logistics.
- Hiring manager conversation focused on technical depth and customer impact.
- Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.
- Panel interviews with cross-functional partners.
- Simulated pre-sales engagement based on a case study, along with and architecture walkthrough of a past technical win. Show your approach to success criteria, trade offs, and outcomes.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million 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!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
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