לוח משרות דרושים ניהול ייצור ותעשייה

The Manufacturing Team Manager at Rapid-Medical will oversee the NPI and production processes of the Drivewire, ensuring smooth transformation from the development stage to manufacturing, working on high-quality manufacturing standards and efficiency. This role involves managing a team of skilled technicians, driving process improvements, expanding and increasing manufacturing capacity and collaborating with cross-functional teams to enhance efficiency and quality. Responsibilities:
* Oversee the transition from development to full-scale production, including validation, process design, and documentation to ensure successful product launch.
* Lead and manage the Manufacturing Team, ensuring operational efficiency and high-quality output.
* Develop and implement manufacturing strategies to optimize productivity and reduce waste, focusing on continuous improvement.
* Monitor production schedules and adjust resources as necessary to meet customer demands and deadlines.
* Collaborate with R&D to develop new products and improve existing ones, ensuring manufacturability from the onset.
* Establish and maintain safety protocols, ensuring compliance with industry standards and regulations.
* Provide training and mentorship to team members, fostering a culture of teamwork and professional growth.
* Analyze production metrics and prepare reports for upper management to inform strategic decisions.

Join a pioneering neurotechnology company. We've developed an FDA-approved brain-computer interface implant for epilepsy diagnosis and treatment. Now scaling production to bring this innovation to patients globally - a rare opportunity at the perfect moment.
Position Overview:
Lead manufacturing of our brain implant while driving 3-10x capacity increase, ensuring regulatory compliance and quality standards.
Key Responsibilities:

Own end-to-end medical implant production
Scale from initial to commercial volumes
Implement automation and Lean principles
Ensure FDA/ISO 13485 compliance
Build high-volume production team

The Product Engineering Team Leader will manage and mentor the Product Engineering team, setting the strategic and technical direction for manufacturing excellence across our LiDAR product portfolio. This leadership role is responsible for overseeing all phases of the product lifecyclefrom NPI transition to end-of-lifewith a focus on maximizing production efficiency, scaling global manufacturing capacity, and fostering a culture of data-driven decision-making and continuous improvement.

Key Responsibilities:

Team Leadership & Strategy:
Team Management: Provide technical and disciplinary leadership for the Product Engineering team, managing workload, setting performance goals, and conducting professional development and mentorship.
Strategic Roadmap: Define the product engineering strategy and roadmap in alignment with overall company objectives, focusing on scaling production capacity and implementing advanced manufacturing techniques (e.g., automation, Industry 4.0).
Cross-Functional Alignment: Act as the primary interface between Engineering (R&D, Design, Test), Production, Quality, and Supply Chain, ensuring seamless information flow and alignment on product launch schedules, process changes, and technical resolutions.
Manufacturing Operations Oversight:
Yield Ownership: Maintain ultimate accountability for all production yield, cost, and quality metrics across all product lines. Drive the execution of high-impact projects for process optimization and scrap reduction.
High-Volume Scale-Up: Oversee the successful transfer of new LiDAR products from pilot to high-volume manufacturing (HVM). Ensure all production processes, equipment, and contract manufacturers (CMs) are qualified for scale.
Technical Problem Solving: Direct and prioritize the team's response to line-down issues, complex failure analysis, and persistent production bottlenecks, ensuring fast, effective, and permanent corrective actions are implemented.
Data Infrastructure: Oversee the development and maintenance of robust manufacturing data infrastructure (MES, test data analytics) to enable real-time monitoring and data-driven process control.