Senior Product Manager

🕒 May 12

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DemandTec

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🛒 Retail

🤖 Artificial Intelligence

SaaS • Retail • Artificial Intelligence

DemandTec is an AI-powered SaaS platform that helps retailers and suppliers optimize lifecycle pricing, promotions, markdowns, and trade fund collaboration. It unifies pricing, promotions, markdowns, and deal management on a single platform, applying demand science and automation to protect margins, improve consumer price perception, and streamline supplier-retailer collaboration and deal reconciliation.

📋 Description

• 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.

🏖️ 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