Senior Customer Success Engineer at Rasa

We are seeking a Senior Customer Success Engineer to join our Customer Success team at Rasa. As a leader in generative conversational AI, Rasa enables enterprises to build and deliver advanced AI assistants through an open, adaptable platform that combines a state-of-the-art engine with a user-friendly no-code interface. Founded in 2016 and backed by investors including StepStone, PayPal, Accel, and Andreessen Horowitz, we operate as a remote-first company with a global presence. In this role, you will serve as the primary technical partner for our enterprise customers in Germany, guiding them through the successful adoption of our solutions while reporting to the Global Director of Customer Success Engineering.

Key outcomes

• Collaborate with multiple enterprise customers to drive successful adoption and long-term satisfaction with Rasa products.
• Deliver technical guidance and strategic recommendations that help customers optimize their AI assistants using industry best practices.
• Resolve customer issues promptly, escalating to internal teams when specialized support is required.
• Foster an environment that supports ongoing strategic success for our customers.
• Share customer insights with product and engineering teams to influence future development priorities.
• Develop and improve AI-powered tooling that enhances customer support workflows.
• Participate in internal training and education sessions to maintain technical excellence.

Requirements

• Deep technical expertise in Rasa or equivalent conversational AI, NLP, or LLM-based technologies.
• Experience serving as part of a key customer leadership team and working directly with both technical and business decision-makers.
• Proficiency in Python or experience building full-stack applications that run in the cloud, with ideal experience in DevOps practices using Kubernetes.
• Strong ability to lead discussions and represent the industry in both customer meetings and public settings.
• Fluency in English and French.

Preferred qualifications

• Experience managing on-premise licensed software solutions.
• Background in DevOps, MLOps, or Machine Learning, with willingness to develop expertise in conversational AI and Rasa-specific development.

Compensation

We offer flexible working hours, a dedicated remote-work budget, and a professional development stipend that includes six paid education days annually. You will receive 26 days of paid time off, a MacBook, and additional technology resources required for your role. Regular remote team events and an annual company-wide offsite are also part of our benefits package.

How to apply

We invite qualified candidates located in Germany to submit their application. We can provide work authorization and visa sponsorship only within Germany.