Senior Pre-Sales Solutions Engineer

Accountabilities:: Lead technical discovery for strategic opportunities, translating business objectives into measurable technical success criteria and evaluation plans. Design, scope, and execute enterprise proof-of-concepts, defining datasets, metrics, timelines, and validation criteria. Build lightweight prototypes, sample integrations, demonstrations, and technical tools using APIs and SDKs. Advise customers on architectures optimized for accuracy, latency, scalability, cost, security, and reliability across cloud, self-hosted, and hybrid environments. Support GDPR, ISO 27001, SOC 2, data residency, vendor risk, and other security and compliance discussions common in EMEA enterprise sales. Troubleshoot and debug technical issues during evaluations, working with Product, Engineering, and Support teams to resolve customer blockers. Create reusable technical assets such as reference architectures, samples, runbooks, field guides, and accelerators. Partner with Solutions Architects and Support to ensure continuity from initial technical validation through production launches and expansion. Enable Account Executives, Customer Success teams, and partners through technical positioning, demonstrations, objection handling, and solution validation. Manage multiple strategic opportunities while maintaining clear documentation, defined escalation paths, and measurable outcomes. Requirements: 5+ years of experience 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, with the ability to build functional POCs and tools. Hands-on experience with modern cloud platforms, Docker, Kubernetes, networking fundamentals, and secure API design. Proven experience leading technical proof-of-concepts for enterprise customers and successfully achieving technical validation. Strong ability to communicate complex technical concepts clearly with both engineering teams and executive stakeholders. Comfortable combining customer conversations, architecture discussions, hands-on development, troubleshooting, and technical documentation. Strong understanding of enterprise security, authentication, authorization, privacy, and data residency requirements. Excellent written and spoken English and availability within an EMEA time zone with strong overlap with customer business hours. Experience with speech recognition, text-to-speech, voice quality analysis, or AI agents is a strong advantage. Familiarity with telephony and real-time media technologies such as SIP, WebRTC, streaming, and WebSocket integrations is beneficial. Experience with self-hosted or hybrid deployments, Helm-based installations, and production observability is a plus. Additional European language skills, particularly German, French, Dutch, Italian, or Spanish, are advantageous. A collaborative, adaptable, and solution-oriented mindset, with the ability to work effectively across regions and functions. Benefits: Fully remote position within EMEA. Flexible remote working environment with periodic regional meetups. Opportunity to work on complex enterprise AI and voice technology use cases. Close collaboration with Sales, Solutions Architecture, Product, Engineering, and Support teams across EMEA, the Americas, and APAC. Exposure to strategic enterprise customers and technically challenging projects from discovery through production and expansion. Shared playbooks, defined escalation paths, and measurable service expectations. Opportunities to build reusable technical assets and influence regional solutions engineering practices. Fast-paced, AI-first working environment that encourages experimentation, continuous learning, and practical use of emerging AI capabilities.