Caplena
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 Seed Round on 2022-03
Artificial Intelligence • B2B • SaaS
Caplena is a company that provides AI-powered text analysis solutions to help businesses analyze open text feedback. They specialize in transforming qualitative data into quantitative insights, enabling customers to make data-driven decisions. Their platform allows users to better understand customer sentiments and trends by leveraging advanced machine learning algorithms.
Customer Success Engineer
🕒 February 8
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Caplena
11 - 50 employees
Founded 2018
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 Seed Round on 2022-03
Artificial Intelligence • B2B • SaaS
Caplena is a company that provides AI-powered text analysis solutions to help businesses analyze open text feedback. They specialize in transforming qualitative data into quantitative insights, enabling customers to make data-driven decisions. Their platform allows users to better understand customer sentiments and trends by leveraging advanced machine learning algorithms.
📋 Description
• Own the technical success of customers from onboarding through long-term usage • Set up technical onboarding, including: Integrations, Data imports and configuration, Initial data validation and quality checks • Work closely with Customer Success and Product teams to ensure smooth customer activation • Troubleshoot customer issues such as: Data configuration problems, Integration errors • Work with the Product team to resolve bugs • Improve internal backend and data workflows to make Customer Success and customer operations more efficient • Act as the technical bridge between customers, Customer Success, and Product
🎯 Requirements
• Experience and strong willingness to work directly with customers • Working knowledge of Python • Familiarity with SQL • Experience with basic data manipulation (e.g. cleaning, transforming, structuring data) • Good working knowledge of Excel • Technical curiosity and ability to understand APIs and integrations • Located in the EU or Switzerland • Fluent, professional level of written and spoken English • Patient, empathetic, and service-oriented mindset • Nice-to-have: Experience with data pipelines or more complex data workflows • Previous exposure to Customer Success, Support, or Market Research • Experience with tools like SPSS or other research/analytics platforms • Fluency in German
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