Job Overview
Location
Remote - USA
Job Type
Full-time
Category
Customer Success
Date Posted
May 12, 2026
Full Job Description
📋 Description
- • As a Senior Customer Success Engineer at Rasa Technologies Inc., you will serve as the trusted technical partner for enterprise customers, guiding them through successful adoption and long-term satisfaction with Rasa’s conversational AI platform.
- • Day to day, you will collaborate with multiple enterprise customers to provide technical guidance, resolve reactive issues, optimize AI assistant performance, and capture customer insights to inform product development.
- • You will join a remote-first, mission-driven team at Rasa, a leader in generative conversational AI backed by top-tier investors, where compassion, experimentation, and vision drive innovation in human-AI interaction.
- • In this role, you will deepen your expertise in conversational AI and LLMs, influence product strategy through customer feedback, and grow as a technical leader in both customer-facing and internal settings.
🎯 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
🏖️ Benefits
- • Flexible hours and a dedicated remote budget
- • A stipend for professional development & 6 paid education days
- • Unlimited PTO + paid sick leave + paid public holidays
- • A Macbook and other necessary tech equipment
- • Health benefits via SequoiaOne, 401(k) contribution with up to 4% match, and equity options
Skills & Technologies
About Rasa Technologies Inc.
Rasa Technologies Inc. provides an open-source conversational AI platform that enables enterprises to build, deploy, and manage text- and voice-based assistants at scale. Its framework combines machine learning components for intent recognition, dialogue management, and context tracking, allowing developers to create customizable chatbots integrated with existing systems. The company offers both free community tools and commercial support, targeting industries needing regulatory compliance and on-premise deployment. Headquartered in San Francisco with offices in Berlin and London, Rasa serves global clients seeking robust, privacy-focused conversational solutions beyond cloud-only services.
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