DemandTec is the only AI-powered retail merchandising platform that unifies pricing, promotions, markdowns, and trade funds in a single connected system. With 25 years of demand science, 120+ retail banner customers, and 7,800+ CPG suppliers connected — the largest network of its kind in the industry — we sit at the center of how the world's leading retailers and consumer goods companies make their most consequential commercial decisions. 

We're in the middle of a deliberate transformation: from best-in-class point solutions to a fully integrated, AI-native decisioning platform. The era of siloed pricing tools and disconnected promotional systems is ending. Retailers need a single platform where price strategy, trade promotion, and markdown decisions are made coherently — informed by the same demand science, governed by the same rules, and increasingly executed by intelligent agents. That's what we're building. 

The Opportunity 

This is the role at the center of that transformation. 

We're looking for a Senior Product Manager to lead the next generation of DemandTec's Price and Promotion platform — not as two modules that happen to share a roadmap, but as a single connected decision system that fundamentally changes how retailers optimize their commercial position. 

The opportunity is substantial. Base pricing, trade promotion management, and the retailer-CPG collaboration layer connecting 7,800+ suppliers are all in active evolution. AI agents are replacing manual workflows. Real-time data pipelines are replacing batch decisioning. And the retailers that optimize price and promotion coherently — not sequentially, not in separate tools — will have a structural margin advantage over those that don't. 

Your mandate is to design and ship the platform that gives them that advantage. 

What You'll Own 

• Connected platform strategy and roadmap. Explicit ownership of the seams where pricing decisions meet promotional economics, and where retailer strategy meets CPG trade investment. 

• The AI-native transformation of the pricing and promotion workflow. Agentic decisioning, LLM-powered recommendation engines, real-time promotional optimization, and autonomous pricing agents that act on behalf of category managers. 

• The CPG collaboration layer. The product vision for how 7,800+ CPG suppliers interact with retail buyers — deal lifecycle, trade fund governance, offer negotiation, and the financial accountability layer underneath it all. 

• Success metrics that matter. Pricing effectiveness, promotional ROI, trade fund utilization, and the customer adoption signals that confirm the transformation is landing. 

What You'll Do 

• Define and drive product strategy for connected price and promotion optimization, aligned with DemandTec's AI-first transformation and the commercial outcomes our customers care about most. 

• Design agentic pricing and promotional workflows — autonomous pricing agents, real-time promotional scenario modeling, and AI-assisted recommendations that reduce time-to-decision for category managers. 

• Translate complex retail economics — price elasticity, cannibalization, halo effects, trade fund ROI — into clear product requirements, user stories, and acceptance criteria that Engineering can build from. 

• Partner with Data Science to develop and ship ML-powered forecasting, demand modeling, and optimization capabilities that are transparent enough for customers to trust and act on. 

• Work directly with retail and CPG customers to validate product direction, understand how pricing and promotional decisions are actually made, and ensure adoption of new capabilities. 

• Evaluate technical trade-offs and guide architectural decisions for AI-driven systems that must perform at enterprise retail scale — thousands of stores, millions of SKUs, 7,800+ supplier connections. 

• Lead go-to-market planning for major capability launches, including sales enablement, competitive positioning, and post-launch iteration driven by real adoption data. 

• Stay ahead of market trends in AI/ML, retail pricing science, and competitive dynamics to inform strategic decisions.