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 Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’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, Deepgram 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 Deepgram.
Company Operating Rhythm
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 is a remote role that is to be based out of one of the following countries:
United Kingdom
Ireland
Scotland
Switzerland
Germany
Austria
Netherlands
Spain
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
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
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
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
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
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
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
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.
