We make it easy for technical companies to build AI assistants. Companies like Docker, Grafana and Mixpanel deploy kapa in the following ways:
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. More than 200 companies use kapa and we have answered more than 10 million questions to date.
Help technical companies discover how they can use AI to answer questions about their products. As our first team of Commercial Associates, you'll build the outbound engine that connects product and engineering teams with kapa.ai - the platform that makes it really easy for technical companies to build RAG assistants and deploy them where their users or employees have questions.
You will own pipeline generation through creative multi-channel outreach to technical leaders and book discovery calls between them and our Account Executives. You'll be crafting personalized messages that resonate with technical users, getting them genuinely excited about having an AI system that can instantly and accurately answer technical questions about their products.
With 200+ companies now using kapa (including Docker, OpenAI, Reddit and many others), having answered 10+ million technical questions, we've proven this works at scale. Strong interest in AI and the ability to have intelligent conversations about technical topics like RAG are important (we'll help teach you though!).
This isn't necessarily about cold-calling through lists. It's about starting conversations with technical leaders about how AI can help them onboard more users, reduce support and build modern product experience, and of course showing them what kapa.ai can do for their teams. How we do this comes down to the strategy you help build. For some high-value accounts a mix of cold-calling, LinkedIn messages and personalized videos might make sense, for other adjacent industries, going to a niche conferences might make more sense.
Requirements
Nice to haves
fulltimeGB / DE / FR / NO / DK / SE / FI / PT / ES / BE / NL / IT / CH / AT / CZ / PL / EE / LV / LT / SK / HU / SI / HR / RU / UA / Remote (GB; DE; FR; NO; DK; SE; FI; PT; ES; BE; NL; IT; CH; AT; CZ; PL; EE; LV; LT; SK; HU; SI; HR; RU; UA)Machine learning$100K - $170K0.10% - 0.20%3+ years
fulltimeGB / 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)Full stack$100K - $150K0.10% - 0.30%3+ years
fulltimeDK$60K - $100K1+ years