Senior Product Manager

Role Overview

• 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.

Requirements

• 5+ years of Product Management experience shipping scalable B2B or enterprise SaaS products, with a track record of measurable customer and business impact.
• Deep domain expertise in retail pricing optimization AND trade promotion management. You need fluency across both sides of the pricing-to-promotion lifecycle — not just one.
• Strong command of retail economics: price elasticity, demand forecasting, cannibalization modeling, promotional effectiveness, trade fund governance. You can hold a technical conversation with a Data Scientist and a commercial conversation with a Category Director.
• Proven ability to translate complex pricing and promotional challenges into precise product requirements and prioritized roadmaps in Agile environments.
• Direct experience working with enterprise retail or CPG customers — understanding what decisions they're making, what's hard about making them, and what better actually looks like in practice.
• Excellent communication across functions and levels — aligning engineering, data science, UX, and executive stakeholders around a shared product direction.
• Experience building or managing AI-native products, agentic systems, or LLM-powered decision workflows in a retail or CPG context.
• Hands-on experience with trade promotion management platforms, retailer-CPG collaboration systems, or deductions and fund management workflows.
• Familiarity with cloud-native architectures (Azure, AWS), microservices, and RESTful APIs — enough to evaluate technical trade-offs with Engineering.
• Background in category management, pricing science, or demand planning at a retailer or CPG company.
• MBA or advanced degree in a quantitative field: Economics, Computer Science, Statistics, or Operations Research.

Tech Stack

• AWS
• Azure
• Cloud
• Microservices

Benefits

• Competitive Salary & Bonus: Annual discretionary, performance-based bonus
• Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents
• Retirement: 401(k) with company match
• Time Off: Flexible PTO policy + 11 paid company holidays
• Remote-First: Work from anywhere in the United States; we're built for distributed teams
• Growth: Annual professional development opportunities for conferences, courses, and certifications
• Equipment: Choice of MacBook Pro or Windows PC
• Impact: Direct influence on a mission-critical platform used by leading global retailers