Teams at YipitData

Lead AI product strategy for investor workflows, designing AI-native products (agents, copilots, MCPs, APIs). Partner with investors, engineers, researchers, and designers to translate LLMs, retrieval, and agent architectures into reliable, production-grade features. Drive rapid experimentation, define evaluation and trust frameworks, and shape platform evolution for investor-grade AI products.

Design end-to-end UX for an AI-powered B2B data product. Translate complex AI and data concepts into intuitive, trustworthy interfaces; conduct user research; define workflows; collaborate with Product, Engineering, and Data Science; contribute to design systems and maintain design quality through launches.

Design, validate, and deploy scalable statistical and distributional models for enterprise consumer analytics. Implement rigorous methodologies, convert ad-hoc analyses into version-controlled analytical libraries, and partner with Data Engineering to optimize performance and scale compute workloads (including cloud/Databricks). Deliver reproducible analytics powering dashboards and LLM-driven applications, with a focus on panel and transaction-level consumer data.