What You’ll Do:

• Build and lead the manufacturing and industrial engineering team, responsible for the design and deployment of our high-volume battery manufacturing capacity.
• Responsible for manufacturing lines design, requirements, related analytics/sizing/balancing, material flow, strategic vendors selection and management, high-volume equipment design/selection, automation level, lines integration to the facility, install, commissioning, rate demonstration and handover the operations teams (your customer). 
• Build the strongest engineering team in the company. Set goals, core principles, culture of innovation, procedures and high expectations to enable excellence.
• Partner with the product design and advanced manufacturing teams to incorporate the latest process/product development, advocate for the simplest, most reliable processes and iterate on the DFM consideration to enable high volume and cost targets.
• Drive PFMEA and OEE considerations as far upstream in product development as possible.
• Think of the factory as a fully integrated product. Best part/process is no part/process.
• Densify, reduce non-value add and achieve significant improvements from one iteration to the next.
• Develop and own the factory capacity model.
• Build effective partnerships to ensure alignment with other leaders and company goals.

What You’ll Bring:

• 10+ years of experience in manufacturing engineering, designing and launching factories; 5+ years in leadership.
• Expertise in high-volume manufacturing line design, install and launch, as well as factory industrial planning.
• Experience in driving down manufacturing costs while maintaining or improving product quality for complex electromechanical assemblies.
• Experience in some of the following is a plus: battery manufacturing, powder handling, mixing, coating, high-temperature furnaces, lamination, assembly and automated conveyance.
• Outstanding organizational, communication, leadership, interpersonal and decision-making abilities.
• Experience managing conflicting objectives, compressed timelines, and highly-automated processes.
• Bachelor’s degree in engineering, physics or equivalent; master’s preferred.