Senior Pre-Sales Solutions Engineer - Europe

Company Overview

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

Operating Principles:

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

1. Compress before you communicate. You think it through first, then lead with the bottom line.
2. Resist entropy. You question what already exists before adding more process or tools.
3. Solve the category. You fix recurring problems at the source, not one case at a time.
4. Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

AI-First by Default

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

• Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.
• Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.
• Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.
• Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

Note: this is a remote role that is to be based out of one of the following countries:

• United Kingdom
• Ireland
• Scotland
• Switzerland

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.

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