About the job
At FourKites, we are at the forefront of tackling intricate challenges that have tangible impacts on the world. From delivering medical supplies for Cardinal Health to providing groceries for Walmart, our platform enables clients to manage global supply chains that are efficient, agile, and environmentally sustainable.
Industry Context: Innovations in AI-driven supply chains reduce logistics costs by over 15%, decrease inventory levels by 35%, and enhance service efficiency by 65%. Companies are increasingly prioritizing AI-enabled automation as a vital component for improving customer experience, sustainability, and resilience.
We invite you to join a diverse team of inquisitive problem solvers who celebrate differences, lead with empathy, and value inclusivity.
FourKites is seeking a driven and seasoned Product Manager — Data & AI Platforms to develop the intelligence layer that underpins our AI platform. You will design data products that are utilized by customers directly, AI agents programmatically, and automated workflows. Your focus will include both traditional BI tools and AI-native analytics that cater to various consumption layers — human dashboards, agent decision-making, and platform automation.
Your Responsibilities:
Strategic Leadership (50%): Oversee the BI tools portfolio and define AI-native data products for multiple consumption layers. You will own product P&L and customer outcomes, collaborating with AI Agent PMs to enhance platform intelligence.
Technical Development (30%): Conduct data analyses using SQL/Python to validate hypotheses, develop prototypes that demonstrate value, and outline data models and requirements for engineering teams.
Team Leadership (20%): Supervise your direct report on BI execution, coordinate efforts across AI product teams, and manage emerging agentic projects as they evolve.
What Makes This Role Unique: As a 'full-stack AI product manager', you will engage in querying production databases, presenting to AI Agent PMs, defining intelligence requirements, interacting with customers on business value, and delivering prototypes that enhance agent workflows — all within the same week.

