Jobs at kapa.ai

Senior Business Development Representative at kapa.ai in New York, NY. This role focuses on driving pipeline generation by identifying and reaching out to technical leaders at high-value accounts, booking discovery calls for Account Executives, and contributing to outbound strategy and process development. Requires 2-4 years of SDR/BDR experience, proven success in outbound prospecting, and a strong interest in AI and developer tools.

Gtm Associate (US) at kapa.ai is a junior sales role focused on outbound pipeline generation. The associate will proactively reach out to technical leaders to book discovery calls for Account Executives, focusing on how AI can help companies answer product-related questions.

Commercial Associate at kapa.ai responsible for outbound pipeline generation. This role involves creative multi-channel outreach to technical leaders to book discovery calls for Account Executives, focusing on demonstrating the value of kapa.ai's RAG assistant platform.

Software Engineer (full-stack) at kapa.ai. This role involves working across the stack on Kapa's AI systems, scaling the RAG engine infrastructure, experimenting with the analytics platform, and working on client integrations and SDK maintenance. Requires experience with backend and frontend development, and an affinity for machine learning and NLP.

Account Executive at kapa.ai responsible for end-to-end sales processes from intro call to close and onboarding. Requires a strong interest in AI and the ability to communicate technical topics like RAG. Comp is uncapped with potential to exceed OTE $200k.

Account Executive at kapa.ai responsible for end-to-end sales processes from intro call to close and onboarding. Requires strong interest in AI and ability to communicate technical topics like RAG. Based in New York with quarterly travel to Copenhagen.

Marketing Lead at kapa.ai responsible for owning the inbound growth engine. This role involves demand generation, sales enablement, developing messaging strategies, and building a content machine across various channels like website, blog, LinkedIn, newsletters, customer stories, SEO, and paid ads.

Research Engineer at kapa.ai focused on improving AI assistants for technical knowledge accessibility. Responsibilities include evaluating RAG systems, building benchmarks, developing agentic retrieval systems, and fine-tuning models. Requires a strong understanding of ML, deep learning, NLP, and experience with LLMs and data stores for search.