Stripe에서 AI Conversation Platform 팀을 이끌 Engineering Manager를 채용합니다. 머신러닝 팀 관리 경력 4년 이상이 필수이며, LLM 및 RAG 시스템 구축 경험자를 우대합니다. 제품 비전 수립, 팀 빌딩, 고품질 ML 시스템의 프로덕션 배포를 주도하게 됩니다. 모호한 환경에서 주도적으로 문제를 해결하고 엔지니어 성장을 지원할 리더를 찾습니다.
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production.
We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.
