About Us
We’re building intelligent demand planning and inventory optimization solutions powered by machine learning. Our mission is to help retailers predict demand more accurately, plan smarter, and eliminate waste — from shelf to supply chain.
Our forecasting platform is already live and delivering measurable results with early retail and CPG customers. We’re now ready to strengthen the next layer — connecting predictive intelligence directly to inventory planning, replenishment, and supply chain execution.
To do that, we’re bringing on a senior retail demand planning leader with deep domain expertise and strong technical fluency in Python — someone who can blend real-world retail understanding with data-driven forecasting systems.
About the Role
As Head of Demand Planning Intelligence, you’ll define how modern retail planning intelligence operates — across demand forecasting, inventory optimization, and supply chain alignment.
You’ll partner with the leadership and engineering teams to refine how our models interpret real-world drivers, how forecasts flow into inventory and replenishment decisions, and how retailers can act on these insights with confidence.
This is a strategic and hands-on role for someone who can both lead and code — guiding the evolution of a product that’s nearly market-ready into one that sets the standard for enterprise retail forecasting.
Location : Remote or Hybrid (San Francisco)
Type : Full-time
Salary : $100k - $200k + Benefits
Key Responsibilities
Strategic Domain Leadership :
Exogenous Factor & Forecast Design :
Inventory & Supply Chain Impact :
Customer & Market Engagement
Qualifications
Must-Have :
Nice-to-Have :
Why This Role Matters
Forecasting accuracy alone doesn’t solve retail problems — actionable intelligence does. This role ensures our forecasting platform closes the loop between demand prediction and operational execution — enabling better planning decisions, smarter inventory allocation, and more resilient supply chains.
Demand Planner • San Mateo, CA, United States