Senior Principal, AI Product Manager

About Schneider Electric Schneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems—enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and one million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies. www.se.com Follow us on: https://www.facebook.com/SchneiderElectric https://www.x.com/SchneiderElec https://www.x.com/SE_Careers https://www.instagram.com/schneiderelectric https://www.youtube.com/schneiderelectric https://www.tiktok.com/@schneiderelectric_global

Schneider Electric

Industrial AutomationEnergy ManagementDigital AutomationSustainabilityInnovationDigitalizationArtificial IntelligenceEngineeringCybersecurityRenewables

See all employees

S

se.com

10,001+ employees

Automation Machinery Manufacturing

Rueil Malmaison, Paris

Public Company

5.8M LinkedIn followers

Raised $5.1B

• 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

• 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

• 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.
• Power management
• Building management
• 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 AI
• Agentic 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

• Medical insurance
• Dental insurance
• Vision insurance
• Basic life insurance
• Benefit bucks
• Flexible work arrangements
• Paid family leave
• Well-being programs
• Paid time off
• 401(k) match
• Company shares
• Learning platforms
• Volunteer leave