Product Manager, Consumer Industries, Industry AI

SAP IT Business Systeme•Palo Alto, CA

1d•$198,200 - $420,000•Remote

About The Position

As a Product Manager for Industry AI in Consumer Industries, you will define and drive new AI use cases in partnership with our customers across Retail, Consumer Products, and Wholesale Distribution. You will translate market needs and customer pain points into clear product priorities, partnering closely with engineering, design and data science to deliver intuitive, scalable and AI-powered capabilities. You will work directly with teams at SAP. These teams include the Industry Business Unit, Customer Industry Solutions, Sales, and Pre-Sales. Your role is to support the development of AI use cases. This involves conducting scoping workshops, design assessments, feasibility assessments, and other project tasks. Your goal is to turn use case ideas into functional assistants and agents. You will guide the process to align these project deliverables with the longer-term roadmap, validate concepts through rapid experimentation, and ensure the products and projects deliver measurable business outcomes. This role requires strong product judgment, good communication and customer facing skills, comfort with complex commercial domains and the ability to turn ambiguity into clarity.

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, order to cash
Proven experience taking products from discovery to launch
Experience leading customer workshops, design workshops, and presenting recommendations
Ability to define and communicate product and project priorities across a diverse team
Strong GTM partnership skills, aligning product strategy with sales and customer success
Strong product leadership
Clear communication
Ability to guide teams through ambiguity
Comfortable shaping new products from the ground up and collaborating across engineering, design, and go-to-market teams
Competitive analysis skills
Market research skills
Managing product lifecycles skills
Storytelling skills
Customer participation is important.
AI-assisted engineering is also important.
High-fidelity prototyping is important too.

Responsibilities

Define and drive new AI use cases in partnership with customers across Retail, Consumer Products, and Wholesale Distribution.
Translate market needs and customer pain points into clear product priorities.
Partner closely with engineering, design, and data science to deliver intuitive, scalable, and AI-powered capabilities.
Support the development of AI use cases by conducting scoping workshops, design assessments, and feasibility assessments.
Turn use case ideas into functional assistants and agents.
Guide the process to align project deliverables with the longer-term roadmap.
Validate concepts through rapid experimentation.
Ensure products and projects deliver measurable business outcomes.
Shape how product management is practiced across your area and beyond.
Develop product roadmaps.
Work through the software development life cycle.
Make data-driven decisions.
Ensure the quality of AI outputs.
Use agentic AI daily.
Build capabilities for AI adoption.