Senior Product Manager

🕒 il y a 25 jours

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DemandTec

Site WebLinkedInTous les Emplois

51 - 200 employés

☁️ SaaS

🛒 Commerce de détail

🤖 Intelligence artificielle

SaaS • Retail • Artificial Intelligence

DemandTec est une plateforme SaaS alimentée par l'IA qui aide les détaillants et les fournisseurs à optimiser les prix tout au long du cycle de vie, les promotions, les réductions et la collaboration sur les fonds commerciaux. Elle regroupe la gestion des prix, des promotions, des réductions et des offres sur une seule plateforme, appliquant la science de la demande et l'automatisation pour protéger les marges, améliorer la perception des prix par les consommateurs et rationaliser la collaboration et la réconciliation des accords entre fournisseurs et détaillants.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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