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Senior Customer Success Engineer(m/w/x)
Technical guidance and strategic advice for enterprise AI assistants on Rasa platform. Deep conversational AI/NLP/LLM expertise required. 6 paid education days, flexible hours.
Requirements
- Deep technical expertise in Rasa or equivalent conversational AI/NLP/LLM technologies
- Experience serving on customer leadership teams with technical/business decision-makers
- Experience with Python or Full Stack cloud apps, ideally DevOps with Kubernetes
- Experience managing on-prem licensed software solutions (nice to have)
- Ability to act as industry-encouraging leader in customer meetings and public settings
- Fluent in English and French
- Strong background in DevOps/MLOps and Machine Learning
- Located and resident of listed location(s)
Tasks
- Collaborate with multiple customers for successful adoption
- Provide technical guidance and strategic advice
- Support customers through reactive issue resolution
- Escalate issues to other teams when necessary
- Champion ongoing strategic customer success
- Capture and communicate customer insights
- Shape product development with customer feedback
- Build and enhance AI-powered tooling
- Participate in internal training and education
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- French – Native
Tools & Technologies
- Rasa
- Python
- Kubernetes
- DevOps
- MLOps
- Machine Learning
- conversational AI
- NLP
- LLM
Benefits
Other Benefits
- Work authorization/visa sponsorship in Germany
Flexible Working
- Flexible hours
Additional Allowances
- Dedicated remote budget
- Professional development fund stipend
- 6 paid education days
More Vacation Days
- 26 days of PTO
Modern Equipment
- Macbook
- Company tech
Team Events
- Remote team events
- Annual company-wide offsite
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Senior Customer Success Engineer(m/w/x)
Technical guidance and strategic advice for enterprise AI assistants on Rasa platform. Deep conversational AI/NLP/LLM expertise required. 6 paid education days, flexible hours.
Requirements
- Deep technical expertise in Rasa or equivalent conversational AI/NLP/LLM technologies
- Experience serving on customer leadership teams with technical/business decision-makers
- Experience with Python or Full Stack cloud apps, ideally DevOps with Kubernetes
- Experience managing on-prem licensed software solutions (nice to have)
- Ability to act as industry-encouraging leader in customer meetings and public settings
- Fluent in English and French
- Strong background in DevOps/MLOps and Machine Learning
- Located and resident of listed location(s)
Tasks
- Collaborate with multiple customers for successful adoption
- Provide technical guidance and strategic advice
- Support customers through reactive issue resolution
- Escalate issues to other teams when necessary
- Champion ongoing strategic customer success
- Capture and communicate customer insights
- Shape product development with customer feedback
- Build and enhance AI-powered tooling
- Participate in internal training and education
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- French – Native
Tools & Technologies
- Rasa
- Python
- Kubernetes
- DevOps
- MLOps
- Machine Learning
- conversational AI
- NLP
- LLM
Benefits
Other Benefits
- Work authorization/visa sponsorship in Germany
Flexible Working
- Flexible hours
Additional Allowances
- Dedicated remote budget
- Professional development fund stipend
- 6 paid education days
More Vacation Days
- 26 days of PTO
Modern Equipment
- Macbook
- Company tech
Team Events
- Remote team events
- Annual company-wide offsite
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Rasa
Industry
IT
Description
Rasa is a leader in generative conversational AI, enabling enterprises to build and deliver next-level AI assistants.
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