Product Manager, Consumer Industries, Industry AI
About The Position
As a Product Manager for Industry AI in Consumer Industries, you will define and drive new AI use cases with customers across Retail, Consumer Products, and Wholesale Distribution. You will translate market needs and customer pain points into product priorities and partner with engineering, design, and data science to deliver intuitive, scalable, AI-powered capabilities. You will work with SAP’s Industry Business Unit, Customer Industry Solutions, Sales, and Pre-Sales teams to support AI use-case development. This includes conducting scoping workshops, design assessments, feasibility assessments, and other project work to turn use-case ideas into functional assistants and agents. You will align project deliverables with the longer-term roadmap, validate concepts through rapid experimentation, and ensure measurable business outcomes. The role calls for strong product judgment, communication and customer-facing skills, comfort with complex commercial domains, and the ability to bring clarity to ambiguity. You will help shape product management practice, co-own strategy, and enable teams to execute through influence and strong relationships. The position is location-agnostic within the United States. You will join a global product team of 5–10 people working across engineering, services, design, and go-to-market teams to create AI-driven commercial solutions that can scale across the market.
Requirements
- 5+ years of product management experience delivering SaaS or data-driven products.
- Deep knowledge of retail and/or consumer products business processes, such as merchandising, trade promotion planning, supply chain, store execution, retail execution, or order to cash.
- Proven experience taking products from discovery to launch.
- Experience leading customer workshops and design workshops, and presenting recommendations.
- Essential experience in agentic AI, including day-to-day practice, AI adoption capability, AI quality assurance, context engineering, and AI-assisted automation and prototyping.
- Ability to define and communicate product and project priorities across a diverse team.
- Strong go-to-market partnership skills, aligning product strategy with Sales and Customer Success.
- Strong product leadership, clear communication, and ability to guide teams through ambiguity.
- Ability to shape new products from the ground up and collaborate across engineering, design, and go-to-market teams.
- Skills in competitive analysis, market research, product lifecycle management, product roadmaps, the software development life cycle, data-driven decision-making, storytelling, customer participation, AI-assisted engineering, and high-fidelity prototyping.
Responsibilities
- Define and drive AI use cases with customers across Retail, Consumer Products, and Wholesale Distribution.
- Translate market needs and customer pain points into clear product priorities.
- Partner with engineering, design, and data science to deliver intuitive, scalable, AI-powered capabilities.
- Collaborate with SAP’s Industry Business Unit, Customer Industry Solutions, Sales, and Pre-Sales teams.
- Support AI use-case development by conducting scoping workshops, design assessments, and feasibility assessments.
- Turn use-case ideas into functional assistants and agents.
- Align project deliverables with the longer-term product roadmap.
- Validate concepts through rapid experimentation and ensure products and projects deliver measurable business outcomes.
- Lead customer and design workshops and present recommendations.
- Define and communicate product and project priorities across a diverse team.
- Align product strategy with Sales and Customer Success.
- Develop product roadmaps, manage product lifecycles, and make data-driven decisions.
- Use agentic AI in day-to-day work, ensure AI output quality, and build capabilities for AI adoption.
Benefits
- SAP describes its benefits as great benefits and provides a link to SAP North America Benefits; specific benefits are not listed in the posting.
- SAP describes flexible working models and a focus on health and well-being.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
