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RasaRA

Senior Customer Success Engineer

Rasa provides flexible conversational AI software for building text and voice-based assistants, used by developers and enterprises worldwide to automate interactions and enhance customer experiences.

Rasa

Employee count: 51-200

United States only

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Join Rasa as a Senior Customer Success Engineer and help customers achieve successful adoption and satisfaction with Rasa's solutions. Provide technical guidance, support customers, and capture customer insights to shape product development.

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
  • Ability to act as an industry-encouraging leader in both customer meetings and public settings
  • Fluent in English, but any other languages are a plus

Benefits

  • Flexible hours
  • Dedicated remote budget
  • Professional development stipend
  • 6 paid education days
  • Unlimited PTO
  • Paid sick leave
  • Paid public holidays
  • Macbook
  • Health benefits (via SequoiaOne)
  • 401(k) contribution with up to 4% match
  • Equity options

About the job

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Posted on

Job type

Full Time

Experience level

Location requirements

Hiring timezones

United States +/- 0 hours

About Rasa

Learn more about Rasa and their company culture.

View company profile

Rasa Technologies Inc. is a leading company in the field of conversational AI, specializing in providing flexible software for building sophisticated text and voice-based assistants. Their platform is utilized by developers, conversational teams, and enterprises globally to create advanced AI assistants that can engage in nuanced conversations and follow business logic safely and predictably. Rasa's technology empowers organizations to automate customer interactions, enhance user engagement, and improve overall customer service efficiency. The company offers both open-source and enterprise solutions, fostering a large community of developers who contribute to the continuous improvement of their software. Rasa Open Source allows for deep customization and control over machine learning models, while Rasa Pro provides enterprise-grade features, security, observability, and scalability, along with dedicated support.

Rasa's platform is designed to harness the full potential of generative AI, blending a state-of-the-art conversational AI engine with an intuitive no-code UI, Rasa Studio. This allows for effective cross-team collaboration in building, testing, reviewing, and continuously improving AI assistants. The company emphasizes data privacy and security, offering on-premise deployment options that enable clients to maintain complete control over their data and comply with strict regulatory standards such as GDPR and HIPAA. Rasa serves a diverse range of industries, including financial services, healthcare, telecommunications, and travel and transport, helping them to transform customer experiences, reduce operational costs, and gather valuable insights from user conversations. Trusted by startups and Fortune 500 companies alike, Rasa is committed to advancing the field of conversational AI and enabling businesses to build brand-true, compliant, and highly effective AI assistants.

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