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# Senior Pre-Sales Solutions Engineer – Europe

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/deepgram.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Sales](https://jobicy.com/categories/seller.md)EmploymentFull TimeExperienceDirectorPublished12 Oct 2026Apply before11 Nov 2026Listing views49Application actions1Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Deepgram is seeking a senior, customer-facing Pre-Sales Solutions Engineer to lead technical discovery, enterprise proof-of-concepts, solution architecture, and evaluations for strategic EMEA accounts. The role combines sales engineering, hands-on software development, technical support escalation, and post-sale continuity for complex voice AI deployments. Success requires building prototypes with APIs and SDKs, advising on cloud or self-hosted architectures, and navigating security, GDPR, data-residency, and procurement reviews. The position operates in a fast-moving AI-first environment with significant cross-functional collaboration across Account Executives, Solutions Architects, Product, Engineering, Support, and partners. It is remote for candidates based in the explicitly listed European countries and requires strong English communication and EMEA customer-hour overlap.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior technical-commercial role requiring ownership of enterprise evaluations from discovery through technical win, while also producing working prototypes and resolving complex implementation issues. The role demands deep cloud, API, security, AI/voice, and executive communication capability in a high-change environment.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$180,000US market range$150k–$210k0$231k

AI insightNo salary or compensation range is disclosed in the posting. The figures shown are estimated annual USD base-salary market ranges for a US-based Senior Pre-Sales/Solutions Engineer with enterprise cloud and AI specialization; actual pay may vary substantially by country, equity, variable compensation, and experience.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Pre-sales Engineering](https://jobicy.com/jobs?search_keywords=Pre-sales%20Engineering.md)[Solutions Engineering](https://jobicy.com/jobs?search_keywords=Solutions%20Engineering.md)[Enterprise POCs](https://jobicy.com/jobs?search_keywords=Enterprise%20POCs.md)[Cloud Architecture](https://jobicy.com/jobs?search_keywords=Cloud%20Architecture.md)[API Integration](https://jobicy.com/jobs?search_keywords=API%20Integration.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[JavaScript/TypeScript](https://jobicy.com/jobs?search_keywords=JavaScriptTypeScript.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[GDPR and Data Residency](https://jobicy.com/jobs?search_keywords=GDPR%20and%20Data%20Residency.md)

Sample interview questionsHow would you structure a technical discovery session for an enterprise evaluating Deepgram's speech-to-text platform?I would begin by clarifying the business outcome, users, workflows, and decision criteria. I would then identify technical constraints such as audio sources, languages, expected volume, latency targets, integration points, security requirements, deployment model, and data residency. I would translate those findings into measurable POC success criteria, an agreed dataset, owners, timeline, and a clear decision process.

Describe how you would design a POC to validate real-time transcription quality and latency.

I would first agree on representative audio samples and define evaluation metrics, such as word error rate, domain vocabulary performance, streaming latency, throughput, and integration reliability. I would build a lightweight streaming integration using the appropriate SDK or WebSocket API, capture structured logs and traces, and compare outcomes against the customer's baseline. I would present results with documented assumptions, trade-offs, remediation options, and a recommendation for production rollout.

A European enterprise asks how Deepgram can meet GDPR and data-residency requirements. How would you respond?

I would avoid making unverified claims and start by understanding the customer's specific processing, retention, subprocessor, and deployment requirements. I would explain the available cloud, self-hosted, or hybrid architecture options relevant to their needs, coordinate with security and legal teams for approved documentation, and provide clear responses to the vendor-risk questionnaire. I would document any remaining gaps, owners, and mitigation plans so the customer has an auditable path to a decision.

How do you balance speed and rigor when an Account Executive needs a technical answer during an active deal?

I prioritize the customer impact and identify whether the request requires a quick validated answer, a prototype, or formal engineering and security review. I provide an immediate, clearly scoped response with known facts, assumptions, and next steps rather than overpromising. For recurring questions, I turn the validated answer into a reusable field guide, demo, or reference architecture to improve future deal velocity.

Tell us about your approach to a technical issue that arises during a high-stakes customer evaluation.

I would reproduce the issue, collect the relevant request details, logs, traces, environment information, and expected behavior, then assess its impact on the agreed success criteria. I would keep the customer and internal stakeholders informed with concise status updates while coordinating the right engineering, product, or support resources. After resolution, I would confirm the fix with the customer, document root cause and mitigation, and convert lessons learned into a runbook or product feedback where appropriate.

Opportunity details

## About this role.

### 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:

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United Kingdom

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Ireland

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Scotland

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Switzerland

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Germany

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Austria

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Netherlands

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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

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Lead technical discovery for strategic opportunities. Map business goals to measurable technical success criteria and an evaluation plan.

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Design, scope, and execute POCs that prove value. Define datasets, metrics, and timelines that land a clear technical win.

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Build lightweight prototypes, sample integrations, and demos using Deepgram SDKs and APIs. Show, do not tell.

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Advise on architecture for accuracy, latency, scalability, and cost. Cover cloud, self-hosted, hybrid, and data residency needs.

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Run security and compliance threads common in EMEA. Prepare crisp responses for GDPR, ISO 27001, SOC 2, and vendor risk reviews.

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Triage and debug issues during evaluations. Collaborate with Product, Engineering, and Support to unblock customers quickly.

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Create reusable assets that scale. Turn repeated requests into working samples, reference architectures, runbooks, and field guides.

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Partner with Solutions Architects and Support for seamless continuity after initial wins. Stay involved through expansion phases when needed.

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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.

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Excellent written and spoken English. Additional European languages are a strong plus.

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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

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Ramp on Deepgram’s product surface area, platform APIs, SDKs, evaluation methodology, and security review materials.

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Shadow strategic discovery and POC calls.

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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.

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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

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Own two evaluations end to end with defined success criteria and timelines.

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Serve as the named technical partner for one or two strategic AEs. Run weekly technical deal reviews and prepare objection handling packs.

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Take point on higher signal tickets related to your evaluations, coordinating fast fixes with Product, Engineering, and Support.

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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

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Act as the primary pre-sales technical owner for several opportunities and expansions within strategic accounts.

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Close at least one complex technical win with a measurable impact on revenue.

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Lead one customer architecture workshop that documents a reference plan for production rollout or expansion.

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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.

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Can move from whiteboard to working code and back without losing the thread.

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Communicate clearly with executives and deeply with engineers.

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Value speed with rigor and crisp documentation.

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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.

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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.

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Hands-on experience with modern cloud platforms. Comfortable with Docker, Kubernetes, networking fundamentals, and secure API design.

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Proven track record leading POCs for enterprise customers and earning the technical win.

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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.

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Familiarity with telephony and real-time media concepts such as SIP, WebRTC, streaming, and WebSocket integrations.

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Experience with self-hosted and hybrid deployments, including Helm-based installs and production observability.

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Strong understanding of authentication, authorization, and data residency topics that appear in EMEA enterprise reviews.

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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.

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Close partnership with AEs, SAs, Product, and Engineering to support continuous coverage across EMEA, the Americas, and APAC.

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Shared playbooks, defined escalation paths, and measurable SLAs.

### Interview Process

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Recruiter screen focused on experience, motivations, and logistics.

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Hiring manager conversation focused on technical depth and customer impact.

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Practical assessment that mirrors real work. Expect discovery, solution design, and a short hands-on exercise.

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Panel interviews with cross-functional partners.

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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.

Notice: We’re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @[deepgram.com](http://deepgram.com) email address. If you’ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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[Apply now >](https://jobicy.com/jobs/155068-senior-pre-sales-solutions-engineer-europe.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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