Artificial intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within the Schneider Electric AI Hub, we combine our long-standing expertise in manufacturing and specific domains with cutting-edge innovations in artificial intelligence to promote smarter decision-making, agility, and decarbonization.

The SE AI platform is a cornerstone of this transformation, enabling teams across the company to build, deploy, and scale AI solutions efficiently.

Your role : No AI at scale without great engineering: We are looking for a Product Owner (Enabling Stream) to own the backlog and outcomes that make our users faster, safer, and more cost‑effective.

You will mainly drive the developer/dev Ops experience and AI Native Engineering activities, as well as the platform and use cases observability, reliability, scalability, Fin Ops, toolchain modernization, and lifecycle management for use cases, environments, and platform users (across two Platform flavors (Azure and AWS) and Databricks as a backbone) This role requires a strategic and technically fluent leader who can work transversally across teams, align diverse stakeholders, and translate user needs into scalable platform features.

It’s an opportunity to shape a high-impact product used across the company and gain visibility at the intersection of AI, technology, and business transformation.

The role is embedded in an Agile SAFe environment and requires close collaboration with technical experts, architects and scrum masters, providing strong transversal leadership to align product vision, priorities, and value delivery across Agile Release Trains.

Your responsibilities : Product Vision & Value Define and evolve the AI Platform products and associated services related to your scope, ensuring high operational quality, reliability, and usability for internal customers.

Own the product vision, positioning, and service definition of the AI Platform, beyond individual features.

Define success metrics and track outcomes (adoption, usage, reliability, impact) to drive value-based prioritization.

Ensure alignment between product vision, platform architecture, and delivery priorities.

Backlog Ownership & Product Strategy Own and prioritize the backlog for Enabling capabilities within the AI platform.

Translate user needs (DevOps, AI Engineers, Engineering Managers) into clear, high‑value backlog items.

Lead product discovery to validate problems and solutions, balancing user value, technical feasibility, and scalability.

Manage trade-offs between innovation, delivery, quality, and product/technical debt.

Contribute to PI planning and backlog refinement in line with SAFe principles.

Cross-functional & Transversal Leadership Collaborate closely with engineering, architecture, cybersecurity / Dev Ex teams to deliver scalable and sustainable platform capabilities.

Lead transversal initiatives and influence decisions across technical and business domains without formal authority.

Act as a product and agile coach for the teams, supporting best practices in product management, discovery, and delivery.

Facilitate stakeholder alignment and manage expectations across teams and geographies.

Platform Enablement &:

Experience: Own part of the user experience of the AI Platform, ensuring usability, consistency, and productivity.

Drive platform adoption through onboarding, enablement, documentation, and internal evangelism.

Collect user feedback and continuously improve platform capabilities and experience.

Strategic Impact & Ecosystem Contribute to AI Platform strategy and executive-level discussions.

Own the product management and governance of key platform components and partnerships, used at scale within Schneider Electric.

Identify opportunities for innovation, efficiency, and long-term value through platform evolution.

Stay up to date with market trends and emerging technologies in AI, Cloud & AI Native Engineering Your profile :  Master’s degree in Engineering, Computer Science, or a related field.

Master in Business Administration (MBA) is a strong plus. 8+ years of experience mostly in product ownership or product management, ideally in data/AI platforms or internal tooling.

Strong understanding of the cloud, devops, AI technologies.

Strong understanding of SRE framework, SLI/SLO/SLA, Incident Mgmt, CI/CD, So CoGo, Quaterdeck/Captain Run practices,

Experience: working in a cloud-native environment and understanding of cloud services (e.g.

Azure, AWS, GCP)

Experience: working in an Agile Scrum or SAFe environment is highly desirable.

Excellent communication, stakeholder management, and transversal leadership skills.

Strategic thinker with a passion for enabling others and driving adoption.

Fluency in English is mandatory.

French is a strong plus.

Product Vision, Product Discovery Product Ownership & Backlog Managementv Cloud, AI, DevOps, SRE Stakeholder Engagement Transversal Leadership Communication & Collaboration Continuous Improvement & Adoption We know skills and competencies show up in many ways and can be based on your life experience.

If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters.

At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success.

We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us. IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play.

It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization.

We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today! €36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World’s most sustainable corporations You must submit an online application to be considered for any position with us.

This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best.

We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values.

We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value.

Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders.

You can find out more about our Trust Charter here Schneider Electric is an Equal Opportunity Employer.

It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Artificial intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within the Schneider Electric AI Hub, we combine our long-standing expertise in manufacturing and specific domains with cutting-edge innovations in artificial intelligence to promote smarter decision-making, agility, and decarbonization.

The SE AI platform is a cornerstone of this transformation, enabling teams across the company to build, deploy, and scale AI solutions efficiently.

Your role : No AI at scale without great engineering: We are looking for a Product Owner (Enabling Stream) to own the backlog and outcomes that make our users faster, safer, and more cost‑effective.

You will mainly drive the developer/dev Ops experience and AI Native Engineering activities, as well as the platform and use cases observability, reliability, scalability, Fin Ops, toolchain modernization, and lifecycle management for use cases, environments, and platform users (across two Platform flavors (Azure and AWS) and Databricks as a backbone) This role requires a strategic and technically fluent leader who can work transversally across teams, align diverse stakeholders, and translate user needs into scalable platform features.

It’s an opportunity to shape a high-impact product used across the company and gain visibility at the intersection of AI, technology, and business transformation.

The role is embedded in an Agile SAFe environment and requires close collaboration with technical experts, architects and scrum masters, providing strong transversal leadership to align product vision, priorities, and value delivery across Agile Release Trains.

Your responsibilities : Product Vision & Value Define and evolve the AI Platform products and associated services related to your scope, ensuring high operational quality, reliability, and usability for internal customers.

Own the product vision, positioning, and service definition of the AI Platform, beyond individual features.

Define success metrics and track outcomes (adoption, usage, reliability, impact) to drive value-based prioritization.

Ensure alignment between product vision, platform architecture, and delivery priorities.

Backlog Ownership & Product Strategy Own and prioritize the backlog for Enabling capabilities within the AI platform.

Translate user needs (DevOps, AI Engineers, Engineering Managers) into clear, high‑value backlog items.

Lead product discovery to validate problems and solutions, balancing user value, technical feasibility, and scalability.

Manage trade-offs between innovation, delivery, quality, and product/technical debt.

Contribute to PI planning and backlog refinement in line with SAFe principles.

Cross-functional & Transversal Leadership Collaborate closely with engineering, architecture, cybersecurity / Dev Ex teams to deliver scalable and sustainable platform capabilities.

Lead transversal initiatives and influence decisions across technical and business domains without formal authority.

Act as a product and agile coach for the teams, supporting best practices in product management, discovery, and delivery.

Facilitate stakeholder alignment and manage expectations across teams and geographies.

Platform Enablement &:

Experience: Own part of the user experience of the AI Platform, ensuring usability, consistency, and productivity.

Drive platform adoption through onboarding, enablement, documentation, and internal evangelism.

Collect user feedback and continuously improve platform capabilities and experience.

Strategic Impact & Ecosystem Contribute to AI Platform strategy and executive-level discussions.

Own the product management and governance of key platform components and partnerships, used at scale within Schneider Electric.

Identify opportunities for innovation, efficiency, and long-term value through platform evolution.

Stay up to date with market trends and emerging technologies in AI, Cloud & AI Native Engineering
Your profile :  Master’s degree in Engineering, Computer Science, or a related field.

Master in Business Administration (MBA) is a strong plus. 8+ years of experience mostly in product ownership or product management, ideally in data/AI platforms or internal tooling.

Strong understanding of the cloud, devops, AI technologies.

Strong understanding of SRE framework, SLI/SLO/SLA, Incident Mgmt, CI/CD, So CoGo, Quaterdeck/Captain Run practices,

Experience: working in a cloud-native environment and understanding of cloud services (e.g.

Azure, AWS, GCP)

Experience: working in an Agile Scrum or SAFe environment is highly desirable.

Excellent communication, stakeholder management, and transversal leadership skills.

Strategic thinker with a passion for enabling others and driving adoption.

Fluency in English is mandatory.

French is a strong plus.

Product Vision, Product Discovery Product Ownership & Backlog Managementv Cloud, AI, DevOps, SRE Stakeholder Engagement Transversal Leadership Communication & Collaboration Continuous Improvement & Adoption We know skills and competencies show up in many ways and can be based on your life experience.

If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.