Senior Principal, AI Product Manager

Role Overview Schneider Electric’s AI Hub within Schneider Digital is advancing how artificial intelligence is incorporated into digital products that solve real customer challenges across energy, sustainability, and industrial  this role, you will lead the development of customer-facing AI capabilities from idea through delivery and operation. You will work across business teams, customers, AI specialists, and product engineering teams to identify high-value opportunities, translate them into product direction, and bring new AI capabilities to life.

This is a hands-on product leadership role focused on owning a select group of AI capabilities rather than managing a broad product portfolio. You will have end-to-end accountability for turning ideas into solutions that create meaningful customer and business value.

Key Responsibilities Identify high-value opportunities to apply AI to customer challenges through design thinking and collaboration with global business stakeholders and customers.

Own AI capabilities from ideation and prioritization through development, delivery, and operation.

Define product direction, priorities, roadmaps, and user experience for the AI capabilities you own.

Evaluate customer needs, market opportunities, and competitive positioning to identify opportunities for new or enhanced AI capabilities.

Partner with Schneider Electric Lines of Business, customers, AI solution teams, and product engineering teams to translate opportunities into deliverable solutions.

Build and work closely with cross-functional Agile squads to deliver AI capabilities through iterative development.

Represent the voice of the customer throughout product development and prioritization.

Support the successful launch and adoption of AI capabilities in partnership with relevant business teams.

Collaborate with partners, system integrators, technology providers, and other participants within the broader technology ecosystem.

Required Qualifications Bachelor’s degree in computer science, mathematics, or a related quantitative field.
12–15 years of experience in a complex software product development environment.

Product management experience with commercial digital or software products, including cloud and/or SaaS environments.

End-to-end product management experience from concept through delivery and launch.

Experience delivering AI-enabled products or capabilities.

Knowledge of Generative AI and agentic AI architectures.

Strategic product acumen and demonstrated ability to develop successful product strategies in complex business environments.

Strong written and verbal communication skills, including experience communicating with senior executive audiences.

Experience delivering products with global teams in a matrixed environment.

Experience working with Agile development approaches such as Scrum or Kanban.

Experience in equipment, electronics, or other engineering-driven manufacturing environments.

Preferred Qualifications Master’s degree in a technical field and/or Business Administration.

Education or additional background in data science or machine learning.

Prior technical experience in AI and/or software development.

Experience in one or more of the following domains:

Power management

Building management

Sustainability

Industrial automation

Experience with customer-facing digital or connected products in an industrial environment.

Experience using modern AI capabilities and tools as part of day-to-day product management work.

Technical Skills Generative AIAgentic AI architectures

Cloud and SaaS product environments AI-enabled product development

Agile product development, including Scrum and/or Kanban Data science and machine learning knowledge is an asset

Location

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