kapa.ai makes it easy for technical companies to build AI support and onboarding bots for their users. Teams at +150 leading startups and enterprises incl. OpenAI, Mixpanel, Mapbox, Docker, Next.js and Prisma use kapa to level up their developer experience and reduce support.

We enable companies to use their existing technical knowledge sources incl. docs, tutorials, chat logs, and GitHub issues to generate AI bots that answers developer questions automatically. More than 750k developers have access to kapa.ai via website widgets, Slack/Discord bots, API integrations, or via Zendesk.

We’ve been fortunate to be funded by some of the greatest AI investors in Silicon Valley: Initialized Capital (Garry Tan, Alexis Ohanian), Y Combinator, Amjad Masad and Michele Catasta (Replit), and Douwe Kiela (RAG paper author and founder of Contextual AI), and other folks incl. angels at OpenAI.

As the Founding (Technical) Customer Success Lead, you will work directly with the founding team as one of the first non-engineering employees. This is a unique opportunity to shape the future of kapa.ai and have a significant impact on our rapidly growing business. You'll be at the forefront of managing our expanding customer base and driving our commercial success.

In this role, you will:

• Collaborate closely with the founders to develop and implement customer success strategies
• Manage relationships with our 100+ customers, serving as their primary point of contact
• Lead the onboarding process for new customers, ensuring smooth adoption of kapa.ai's solutions
• Proactively work with customers through regular check-ins and problem-solving
• Collect and synthesize product feedback to inform our product development roadmap
• Work hand-in-hand with our engineering team to address customer needs and enhance our AI/LLM capabilities
• Contribute to overall company strategy and growth as a key member of our early-stage team

You may be a good fit if you have:

• A "founder-ish" mindset with the ability to thrive in an early-stage startup environment
• Good technical skills and comfort with developer tools, APIs, and AI concepts (at kapa.ai everyone on the team is technical, though you don’t need to be an full-on engineer)
• Basic coding skills - ability to understand and discuss technical implementations
• Excellent communication skills, with the ability to explain complex AI concepts to various audiences
• Experience in customer success, account management, or similar roles in a B2B SaaS environment
• Genuine interest in applied AI and its potential to solve real-world problems in developer tooling
• Strong product sense and the ability to contribute to product strategy

Django, NextJS, and lots of custom retrieval augmented generation pipelining.