Teams at AI Fund

Design and build production-quality front-end experiences for an AI learning product. Own the product design language, component system, motion, accessibility, performance, responsiveness, and interaction details. Work directly with learners and the founding team to iterate rapidly based on observed usage. The role combines product design and front-end engineering, requiring end-to-end ownership from interface design through implementation and refinement.

Own the strategy, roadmap, and feature delivery for DeepLearning.AI’s B2B corporate training product. Partner with sales, engineering, design, customer success, and curriculum teams to understand enterprise needs, define product specifications, prototype solutions, and deliver features such as analytics, reporting, custom learning paths, LMS integrations, and privacy controls. Support enterprise sales cycles and represent the product roadmap to business customers.

The Forward Deployed Engineer is customer-facing, responsible for deployments, debugging, configuring systems, and translating customer needs into product feedback. Requires hands-on coding in Python and SQL.