Shinkei Systems (YC W22) builds robotics that minimize fish waste and multiply shelf-life.

Responsibilities:

• Logistics Management:
  • Develop and implement logistics strategies to ensure efficient transportation of fish from port to distributors and chefs for producer partners.
  • Develop and implement other strategies, including packaging and materials.
  • Coordinate with logistics partners and stakeholders to streamline processes and reduce costs.
  • Monitor and manage inventory levels, ensuring timely delivery of products.
• Purchasing & Supply Chain:
  • Source and purchase robot parts and materials required for manufacturing.
  • Establish and maintain relationships with suppliers and vendors to ensure quality and timely delivery of parts.
  • Identify and mitigate supply chain risks to prevent disruptions.
• Manufacturing & Deployment Support:
  • Develop and implement logistics strategies to ensure efficient build out, installation and field deployment of robots.
  • Collaborate with the manufacturing team to ensure seamless production processes.
  • Monitor production schedules and address any issues that arise to minimize delays.
• Office Management:
  • Oversee daily office operations, ensuring a productive and organized work environment.
  • Manage office supplies and equipment, coordinating maintenance and repairs as needed.
• Continuous Improvement:
  • Identify opportunities for process improvements and implement changes to enhance efficiency and productivity.
  • Analyze data and metrics to track performance and make informed decisions.

What You Will Need:

• Bachelor’s degree in Business Administration, Operations Management, Supply Chain Management, or a related field.
• Minimum of 4 years of experience in logistics, supply chain management, or operations, preferably in the food, industrials or robotics industry.
• Strong understanding of logistics and supply chain principles and best practices.
• Excellent problem-solving skills and ability to manage multiple tasks simultaneously.
• Proficiency in relevant software and tools (e.g., ERP systems, MS Office Suite).
• Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented and highly organized with a focus on continuous improvement.

We program and deploy large fleets of industrial robots using deep learning at every step. We implement of mixture of engineering techniques ranging from vanguard computer vision models to knee-deep mechanical engineering fabrication.

Our team is growing, and we're open for the best and brightest mechanical and software engineers with a background in autonomous systems/robotics/AI.

Come help us rebuild the world's supply chains from the ground up.