About Us
Were 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. Were now ready to strengthen the next layer connecting predictive intelligence directly to inventory planning, replenishment, and supply chain execution.
To do that, were 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, youll define how modern retail planning intelligence operates across demand forecasting, inventory optimization, and supply chain alignment.
Youll 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 thats 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 :
- Own the retail forecasting and inventory intelligence vision across demand, supply, and replenishment planning.
- Translate deep retail operational knowledge from promotions to logistics into actionable models and product requirements.
- Define what forecasting that drives the business means for retail customers at scale.
Exogenous Factor & Forecast Design :
Identify and model key external drivers pricing, promotions, holidays, weather, regional events, and macro trends that impact demand and inventory flow.Use Python to prototype new data features, validate model behavior, and analyze cross-effects between demand signals and supply outcomes.Inventory & Supply Chain Impact :
Shape how forecast outputs inform inventory allocation, replenishment, and supply chain optimization.Define metrics and decision frameworks that connect demand forecasts to practical inventory actions.Partner with product and engineering to ensure end-to-end visibility from forecast accuracy to fulfillment reliability.Customer & Market Engagement
Work directly with enterprise retail and CPG clients to validate model logic, align workflows, and drive adoption.Support go-to-market teams with credible insights into how forecasting intelligence improves supply chain efficiency and ROI.Represent the company as a thought leader in AI-driven retail planning and inventory management.Qualifications
Must-Have :
10+ years of experience in retail demand planning, inventory optimization, or supply chain management.Proven success leading forecasting or planning transformation initiatives in large retail or CPG organizations.Strong Python skills able to analyze time series data, prototype forecasting logic, and validate model performance.Deep understanding of how exogenous factors drive retail demand and inventory movement.Excellent communication and leadership skills; able to influence across product, data science, and commercial teams.Nice-to-Have :
Experience with enterprise planning tools (SAP IBP, Blue Yonder, RELEX, Anaplan).Familiarity with ML forecasting techniques and evaluation metrics.Background across multiple retail verticals (e.g., apparel, grocery, e-commerce, CPG).Working knowledge of SQL, BI tools, or supply chain analytics platforms.Why This Role Matters
Forecasting accuracy alone doesnt 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.