Senior Pre-Sales Solutions Engineer - Europe
Deepgram, EU - Remote
What you will do
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.
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.
What you need
- 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.
Nice to have
- 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.