Customer Success Engineer

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    "datePosted": "2026-02-18",
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      "city": "Zurich",
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    "description": "<p>This role is suitable for experienced candidates who enjoy combining technical problem-solving with working closely with customers. You will play a key role in ensuring customers are technically successful with Caplena, from onboarding to long-term usage, while working closely with Customer Success and Product teams.</p>\n<p><br></p>\n<p>You will be at the center of how customers experience Caplena technically. Your work will directly impact: how fast customers go live, how successful they are in using the product, and how efficiently our internal teams can support and scale customer success. </p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Key Responsibilities</span></p>\n<p><br></p>\n<ul>\n<li>Own the technical success of customers from onboarding through long-term usage</li>\n<li>Set up technical onboarding, including:\n<ul>\n<li>Integrations</li>\n<li>Data imports and configuration</li>\n<li>Initial data validation and quality checks</li>\n</ul>\n</li>\n<li>Work closely with Customer Success and Product teams to ensure smooth customer activation</li>\n<li>Troubleshoot customer issues such as:\n<ul>\n<li>Data configuration problems</li>\n<li>Integration errors</li>\n<li>Working with the Product team to resolve bugs</li>\n</ul>\n</li>\n<li>Improve internal backend and data workflows to make Customer Success and customer operations more efficient</li>\n<li>Act as the technical bridge between customers, Customer Success, and Product</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Must-Have Requirements</span><br></p>\n<p><br><br></p>\n<ul>\n<li>Experience and strong willingness to work directly with customers</li>\n<li>Working knowledge of Python</li>\n<li>Familiarity with SQL</li>\n<li>Experience with basic data manipulation (e.g. cleaning, transforming, structuring data)</li>\n<li>Good working knowledge of Excel</li>\n<li>Technical curiosity and ability to understand APIs and integrations</li>\n<li>Located in the EU or Switzerland</li>\n<li>Fluent, professional level of written and spoken English</li>\n<li>Patient, empathetic, and service-oriented mindset</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Nice-to-have:</span><br></p>\n<p><br></p>\n<ul>\n<li>Experience with data pipelines or more complex data workflows</li>\n<li>Previous exposure to Customer Success, Support, or Market Research</li>\n<li>Experience with tools like SPSS or other research/analytics platforms</li>\n<li>Fluency in German</li>\n</ul>\n<p><br></p>\n<p>We would love to hear from you if you enjoy variety, are eager to learn, and want to grow your technical skills while making a real impact on customer results.</p>",
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    "minimumExperience": "Mid-level",
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