Demo

Smart Factory Manager

Bloom Energy
Newark, DE Full Time
POSTED ON 4/3/2026
AVAILABLE BEFORE 5/9/2026
At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality.

For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.

At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.

We are looking for a Smart Factory Manager to join our team in one of today’s most exciting technologies. This role will report to Director of Manufacturing and is onsite based in Newark, DE. This is a fully on-site, in office role.

Role and Responsibilities:


  • Strategic implementation: Develop and execute strategies to integrate and scale smart factory programs, such as software automation, robotics, artificial intelligence (AI), and the Internet of Things (IoT), to drive operational excellence.
  • Production Oversight: Oversee all daily manufacturing operations, from production planning and scheduling to quality control, ensuring they run efficiently, safely, and meet all targets. Use data from connected systems to identify and resolve production issues.
  • Technology Management: Manage the smart factory's technology stack, including the Operational Technology (OT) and IT infrastructure. This involves managing systems like Manufacturing Execution Systems (MES), Supervisory Control and Data Acquisition (SCADA), and data analytics tools.
  • Continuous Improvement: Champion a culture of continuous improvement by leading initiatives based on methodologies like Lean and Six Sigma. Use real-time data to drive enhancements and eliminate waste.
  • Employee Development: Manage, train, and develop staff for the smart factory environment, emphasizing skills that complement automation rather than being replaced by it.
  • Resource and Cost Management: Oversee factory budgets and manage resource allocation for materials, equipment, and labor. Leverage smart technologies to optimize resource use and reduce costs.
  • Cybersecurity: Maintain cybersecurity for all interconnected systems to protect against potential cyberattacks and data theft.
  • Stakeholder Communication: Provide regular status updates on operational improvements and digital initiatives to senior management.
  • Performance Monitoring: Track key performance indicators (KPIs), analyze production data, and generate reports to monitor progress and identify areas for improvement


Skills and Experience:


  • Education: A bachelor's degree in technical discipline required, Computer Science, Software Engineering, Information Technology, Systems Engineering highly desirable
  • Experience: 8 years’ minimum experience in software / systems development role required with a demonstrated history of implementing digital transformation or Industry 4.0 initiatives to drive improved manufacturing operations outcomes.
  • Technical Expertise: Deep knowledge of smart factory technologies, including Industrial IoT (IIoT), automation, robotics, AI, data analytics, and manufacturing software.
  • ERP / MRP Systems: Experience with Oracle ERP systems and Advanced Scheduling & Planning software highly desirable.
  • Cloud Competency: Experience with Microsoft Technology Stack and AWS cloud services is highly desirable
  • Analytics: Experience with business intelligence tools for data visualization and reporting, preferably Quicksight
  • Leadership and Management: Strong leadership abilities to motivate and direct teams, manage budgets, and make data-driven decisions.
  • Analytical and Problem-solving Skills: Exceptional ability to understand root cause of issues in human-technology systems, recommend the right solution and champion its deployment within a factory environment.


Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

At Bloom Energy, we are committed to supporting the well-being of our employees and their families. Our comprehensive benefits package for eligible employees includes competitive Medical, Dental, and Vision plans with a large employer contribution, a 401(k) Retirement Plan with company match, generous Mental Health Support services, Legal services, virtual Physical Therapy access, and Fertility & Family Forming benefits.

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.

Salary Ranges:

$149,300.00 - $214,700.00

Salary : $149,300 - $214,700

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