The Engineering Manager for Nexus ML at Google Global Fleet will lead a team of software engineers focused on developing large-scale distributed systems and data pipelines. This role is essential for driving the technical strategy and roadmap for machine learning capacity engineering initiatives. The team operates within a highly collaborative environment, working to optimize supply chain execution and enhance demand visibility. The manager will also ensure the successful integration of multi-component systems while fostering career development within the team.

• Bachelor's degree in Computer Science or a related technical field.
• 8 years of experience in software development.
• 3 years of experience managing a technical team.
• Experience with software development using a general-purpose programming language.
• Experience architecting and developing distributed systems.

• Manage and grow a team of software engineers, fostering a culture and guiding their career development.
• Lead the design, development, and architecture of large-scale distributed systems and data pipelines.
• Drive the technical strategy and roadmap for Nexus machine learning capacity engineering initiatives.
• Collaborate with cross-functional stakeholders to integrate multi-component systems and ensure their successful adoption.
• Guide software development best practices using general-purpose programming languages to deliver scalable, high-quality infrastructure solutions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.