Job Overview
Location
Remote - Germany
Job Type
Full-time
Category
Software Engineering
Date Posted
May 26, 2026
Full Job Description
đź“‹ Description
- • Serve as the primary technical expert and trusted advisor to Enterprise customers deploying Rasa’s conversational AI solutions, ensuring successful adoption and long-term satisfaction throughout the customer lifecycle.
- • Collaborate directly with customers’ technical and business stakeholders to provide strategic guidance on optimizing AI assistants using Rasa’s platform, with emphasis on best practices, scalability, and operational sustainability.
- • Deliver hands-on technical support through reactive issue resolution, diagnosing and troubleshooting complex AI assistant failures, and escalating critical issues to product or engineering teams when needed.
- • Act as a liaison between customers and Rasa’s internal product and engineering teams by capturing, synthesizing, and communicating customer feedback, usage patterns, and feature requests to influence product roadmap priorities.
- • Design, build, and enhance proprietary AI-powered tooling to automate and improve customer support workflows, increasing efficiency and reducing time-to-resolution for recurring issues.
- • Participate in customer success engagements from onboarding through expansion, ensuring project deliverables are met and customer outcomes align with business objectives.
- • Contribute to internal training initiatives by developing and delivering educational content to new Customer Success Engineers and other Rasa teams on Rasa’s platform, architecture, and deployment patterns.
- • Maintain deep technical proficiency in Rasa’s open-source and enterprise AI platforms, including intent classification, entity extraction, dialogue management, and integration with external systems.
- • Support customers using both cloud-hosted and on-premises Rasa deployments, ensuring seamless configuration, monitoring, and maintenance of AI assistant environments.
- • Represent Rasa professionally in customer meetings, technical workshops, and public forums, acting as an industry advocate for conversational AI adoption and enterprise best practices.
- • Engage in regular internal knowledge-sharing sessions, code reviews, and cross-functional alignment with Product, Engineering, and Support teams to ensure consistent customer experience.
- • Document customer success stories, technical solutions, and common pitfalls to build a reusable knowledge base for the broader Customer Success Engineering team.
- • Maintain awareness of evolving trends in NLP, LLMs, and MLOps to continuously improve customer outcomes and Rasa’s technical offerings.
🎯 Requirements
- • Deep technical expertise in Rasa or equivalent conversational AI or NLP/LLM-based technologies
- • Experience serving as part of a key customer leadership team, working with technical and business decision-makers
- • Experience with either Python or Full Stack apps that run in the cloud, ideally DevOps experience with Kubernetes
- • Fluent in English and French
🏖️ Benefits
- • Flexible hours and a dedicated remote budget
- • A stipend for professional development fund & 6 paid education days to help you grow within your role
- • 26 days of PTO
- • A Macbook, and other tech to help you do your job
- • Regular remote team events and an annual company-wide offsite
- • Work authorization and visa sponsorship available only in Germany
Skills & Technologies
About Rasa Technologies Inc.
Rasa Technologies Inc. provides an open-source conversational AI platform that enables enterprises to build, deploy, and manage text- and voice-based assistants at scale. Its framework combines machine learning components for intent recognition, dialogue management, and context tracking, allowing developers to create customizable chatbots integrated with existing systems. The company offers both free community tools and commercial support, targeting industries needing regulatory compliance and on-premise deployment. Headquartered in San Francisco with offices in Berlin and London, Rasa serves global clients seeking robust, privacy-focused conversational solutions beyond cloud-only services.
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