• Lead the architecture and implementation of enterprise deployments involving speech-to-text, text-to-speech, and voice-agent technologies.

• Own post-sales technical success for assigned EMEA customers, helping unblock integrations, improve accuracy and latency, and achieve stable production deployments.

• Act as a Tier-3 technical escalation point, leading root-cause analysis, developing mitigations, and creating durable fixes or automation where appropriate.

• Design reference architectures and repeatable implementation patterns for use cases such as contact centers, voice analytics, quality assurance, and AI agents.

• Build practical samples, scripts, internal tools, and other reusable assets that simplify customer implementations and internal workflows.

• Support pre-sales discovery and proof-of-concept engagements where deeper technical expertise is required, translating business objectives into concrete technical plans and measurable success criteria.

• Partner with Product and Engineering teams to communicate customer feedback, prioritize fixes and features, and influence the product roadmap.

• Develop and maintain runbooks, playbooks, deployment guides, troubleshooting resources, and other knowledge assets that scale technical expertise across regions.

• Participate in regional on-call and incident-response rotations, helping maintain agreed customer support levels and service expectations.

• Collaborate with global teams across EMEA, the Americas, and APAC to provide continuous technical coverage and consistent customer experiences.

• Travel within the region approximately 10–20% of the time for critical customer milestones when required.

Requirements

• 5+ years of experience in Solutions Architecture, Solutions Engineering, or a comparable customer-facing technical role.

• Professional software engineering experience in at least one language such as Python, Rust, or JavaScript, with the ability to build production-quality proof-of-concepts and tools.

• Hands-on experience with modern cloud platforms, containerization, and orchestration technologies such as Docker and Kubernetes.

• Strong understanding of secure network design and API-driven systems.

• Demonstrated ownership of complex post-sales initiatives, including production deployments, migrations, performance optimization, and incident response.

• Ability to work comfortably across application code, containers, cloud infrastructure, APIs, and production environments.

• Excellent written and verbal communication skills, with the ability to communicate effectively with both technical specialists and executive stakeholders.

• Strong problem-solving skills and an ability to translate ambiguous customer requirements and operational constraints into clear architectures and implementation plans.

• Familiarity with GDPR, data privacy, enterprise security reviews, authentication, authorization, and data residency considerations relevant to EMEA customers.

• Experience with speech recognition, text-to-speech, or voice agents integrating LLMs is highly valued.

• Knowledge of WER analysis, model selection and tuning, and accuracy-versus-latency trade-offs is advantageous.

• Experience operating self-hosted systems, including Helm-based deployments and production observability, is a plus.

• Fluency in an additional European language such as German, French, Dutch, Italian, or Spanish is advantageous.

• Comfortable working remotely from Germany or another eligible EMEA location with reliable overlap with customer business hours.

Benefits

• Fully remote work across EMEA, with periodic regional team meetups.

• Opportunity to work on complex, production-grade AI voice technologies and enterprise deployments.

• Collaboration with international colleagues across EMEA, the Americas, and APAC.

• Exposure to the full customer lifecycle, spanning pre-sales, architecture, implementation, production support, and product feedback.

• Practical, hands-on environment with defined escalation paths, shared playbooks, and measurable service expectations.

• Opportunities to create reusable technical assets, automation, documentation, and implementation patterns with impact across the wider organization.

• Regional travel opportunities for important customer engagements, estimated at 10–20%.

• A fast-moving environment that encourages experimentation, continuous learning, and effective use of modern AI tools.