לוח משרות דרושים מנהל תפעול - ייצור ותעשייה

Location: Yokneam Rapid Medical is looking for a hands-on Manufacturing Team Manager to lead a production team within our growing manufacturing department. This is a front-line leadership role — perfect for team leaders / managers in the medical-device industry who love being close to the production floor and developing people. Previous experience in managing a production team is mandatory. Responsibilities: • Lead and manage a manufacturing team, ensuring operational efficiency, high-quality output and continuous improvement. • Provide training and mentorship to team members, ensuring adherence to manufacturing procedures and documentation; and driving continuous process improvements to support operational efficiency. • Manage daily production operations, ensuring strict adherence to procedures, documentation requirements (DHRs, travelers, SOPs), and regulatory standards. • Oversee the transition from development to full-scale production, including validation, process design, and documentation to ensure successful product launch. • Monitor production schedules and adjust resources as necessary to meet sales demands and deadlines. • Establish and maintain safety protocols, ensuring compliance with industry standards and regulations. • Collaborate closely with engineering, quality, and supply chain teams to ensure strong process control and smooth execution on the production floor.

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.