As part of Rasa’s customer success engineering team, collaborate with multiple customers to ensure successful adoption and satisfaction with Rasa products.
Provide technical guidance and strategic advice to help customers optimize their AI assistants, with a focus on best practices and long-term success.
Support customers through reactive issue resolution, escalating to other teams when necessary.
Help champion an environment for ongoing strategic customer success.
Capture and communicate customer insights to Rasa’s product and engineering teams to help shape product development.
Build and enhance AI-powered tooling to improve customer support workflows.
Participate in Rasa internal training and education sessions.
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
Nice to have experience managing on-prem licensed software solutions
Ability to act as an industry-encouraging leader in both customer meetings and public settings
Fluent in English and French
Tech Stack
Cloud
Kubernetes
Python
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 to do your job
We have regular remote team events, as well as a company-wide offsite annually