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Kapa.ai (YC S23) Is Hiring a Customer Solutions Engineer (EU Remote)


Kapa makes technical knowledge instantly accessible through AI assistants. As a customer solutions engineer you will work work closely with our 200+ customers to help them deploy and manage both customer-facing and employee-facing AI assistants. Check out Docker’s documentation (https://docs.docker.com (https://docs.docker.com)) for a live example of what Kapa is (look for the “Ask AI” button). In this role, you will: Work directly with the founding team to own the support engineering strategy Own the support queue and be the first point of contact for customers reaching out Collaborate with engineering on bug fixes, escalations and debugging Partner with the go-to-market team on the technical parts of onboarding Draft documentation and support content to help customers self-serve better (using kapa.ai) Occasionally partner with account executives early in the sales cycle acting as a sales engineer You may be a good fit if you have*: A love for helping customers become successful Hands-on technical skills including API integration, debugging customer implementations, and scripting to solve customer problems An affinity for LLMs, RAG and agentic workflows (you should definitely like tinkering!) The ability to work effectively in a fast in a environment where things are sometimes loosely defined * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to kapa.ai (http://kapa.ai), please reach out.

$100K - $120K•0.01% - 0.10%•GB / EG / RU / UA / TR / FR / IT / ES / PL / RO / KZ / NL / BE / SE / CZ / GR / PT / HU / AT / CH / BG / DK / FI / NO / SK / LT / EE / DE / Remote (GB; EG; RU; UA; TR; FR; IT; ES; PL; RO; KZ; NL; BE; SE; CZ; GR; PT; HU; AT; CH; BG; DK; FI; NO; SK; LT; EE; DE) Work directly with the founding team to own the support engineering strategy Own the support queue and be the first point of contact for customers reaching out Collaborate with engineering on bug fixes, escalations and debugging Partner with the go-to-market team on the technical parts of onboarding Draft documentation and support content to help customers self-serve better (using kapa.ai) Occasionally partner with account executives early in the sales cycle acting as a sales engineer We leverage companies existing technical knowledge sources including documentation, tutorials, forum posts, Slack channels, GitHub issues and many more to generate AI assistants that can handle complicated technical questions.

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