Join a fast-growing AI communications team as the technical bridge between product and customer deployments. You will own implementations from requirements gathering through production integrations and monitoring, while feeding deployment learnings back into the product.
Translate customer requirements into robust production implementations.
Lead deployments, configuring workflows, data flows, prompts, and guardrails.
Build integrations with third-party systems using APIs, webhooks, and common authentication patterns.
Develop and test features and glue code, with appropriate monitoring and logging.
Debug production issues across calls, workflows, and data, and ship timely fixes.
Create reusable templates, deployment playbooks, and implementation standards.
Share recurring customer needs and product gaps with concrete recommendations.
Work across AI logic, integrations, and cloud infrastructure to ensure reliable live deployments.
Several years of experience translating customer requirements into production implementation plans.
Hands-on production experience with LLM applications, including prompting, tool use, RAG, evaluation, and failure modes.
Strong coding skills for integrations and feature development, with experience in APIs, webhooks, authentication, testing, monitoring, and logging.
Cloud fundamentals, including deployment, observability, and production debugging.
German proficiency at B2 level or above; exceptional candidates without German may be considered.
Experience with voice or telephony integrations is a plus. Familiarity with TypeScript or Python, SQL, workflow automation, monitoring and tracing, or privacy considerations is also valuable.
Base salary: €60,000 to €90,000 annually. Visa sponsorship is not available.
Remote within Germany.
Implement and optimize customer deployments for the French market, translating requirements into production-ready AI workflows, integrations, and automations while improving reusable deployment practices.
Leads enterprise customer engagements from technical discovery and proof of value through production deployment, connecting customer requirements with product and engineering teams for governed AI systems.
Own customer deployments from discovery and data integration through trusted, measurable outcomes, combining data engineering, applied AI, and customer partnership while building reusable tools and practices.
Embed with enterprise customers to design and deliver production-ready automation workflows, integrations, and custom nodes, while turning customer needs into reusable product improvements and scalable deployment playbooks.
Enable systems integration partners to deploy and scale Devin and Windsurf by leading hands-on technical training, co-delivering pilots, resolving complex integrations, and building repeatable partner solutions.
