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Senior Customer Success Engineer
Rasa

Posted:

2 weeks ago

Location:

Remote - Serbia

Latest Funding:

$30M ( Feb 1, 2024 ) · $70.1M Total

Annual Revenue:

$18M

Headcount:

150

Apply Manually

Join Rasa as a Senior Customer Success Engineer to support enterprise customers in adopting Rasa's AI solutions and ensure project success.

Collaborate with customers to ensure successful adoption of Rasa products, provide technical guidance, and capture customer insights for product development.

Rasa Python DevOps NLP Kubernetes
Requirements Summary
  • Deep technical expertise in Rasa or equivalent conversational AI technologies
  • Experience with technical and business decision-makers
  • Fluency in English and another European language
Nice to have
  • Strong background in DevOps/MLOps
  • Experience in coding and model deployment
Perks & Benefits
401k Health Insurance Visa Sponsorship Stock Options Professional Development

Your turn to start the conversation.
Write the future at Rasa.

Conversation. It’s the thread between our product and our people. The tool that enables us to forge relationships through compassion and expertise. To find the connection between our differences. It keeps ...

Rasa
Founded:

2016

Latest Funding:

$30M (Series C) on Feb 1, 2024

Total Funding:

$70.1M

Annual Revenue:

$18M

Headcount:

150

Industries:
Information Technology & Services Computer Software
Description:

Rasa is a prominent provider of open generative conversational AI software, focusing on creating text and voice-based assistants for enterprises. Founded in 2016 and based in California, Rasa operates as a remote-first organization with teams in various cities, including San Francisco, Berlin, and London. The company serves a diverse clientele, from startups to Fortune 500 companies, with a strong emphasis on data privacy, security, and scalability. Rasa offers several key products, including Rasa Pro, an open-core AI framework for building and deploying conversational AI models, and Rasa Studio, a no-code interface for managing AI assistants. Their proprietary architecture, CALM, integrates generative and rule-based AI for nuanced conversations. Rasa's solutions are designed for industries with high compliance needs, such as healthcare and finance, and support multi-channel integration with platforms like Slack and WhatsApp. The company is backed by notable investors and has achieved significant adoption, with over 50 million downloads of its open-source tools.

Investors:
StepStone Group PayPal Ventures Andreessen Horowitz Accel
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