Manager I, MLD Ops, GO-AI
Role Overview
Manager I / front-line manager accountable for site operations and a team of 20–25 employees.
The role supports Global Operations–AI, which provides human-in-the-loop support for machine-learning transformation.
Key Skills for This Role
Full Job Posting
Role overview
Manager I / front-line manager accountable for site operations and a team of 20–25 employees.
The role supports Global Operations–AI, which provides human-in-the-loop support for machine-learning transformation.
Key responsibilities
- Lead, motivate, and manage a team of 20–25 employees; set and review individual and team performance goals.
- Manage workflows and meet SLA, operational, and quality KPIs, including APL, SPL, and quality scores.
- Generate performance reports; analyze data to identify trends, bottlenecks, and opportunities for improvement.
- Conduct quality checks and audits, arrange training, and coach associates.
- Translate organizational goals into team actions and promote continuous learning and career development.
- Prepare metrics and SOPs, create processes, and work with operations management and internal partners on improvements.
- Ensure compliance with company policies and build a high-performing team focused on quality output.
Basic qualifications
- Graduate or equivalent; basic qualifications also specify a bachelor's degree or four or more years of education or related field experience.
- At least four years of experience, including 18 months as a team leader or team manager.
- Strong leadership, team motivation, analytical ability, and confidence using data.
- Ability to prioritize tasks, schedule a team, manage time, and meet deadlines.
- Very good written and verbal English communication; strong presentation, feedback, and coaching skills.
- Hands-on MS Office experience; Excel and PowerPoint are preferred.
- Comfortable with 24x7 rotational shifts.
Additional skills
- Basic data handling and interpretation skills are required.
- Pulling data from databases and performing ad hoc reporting and analysis is a plus.
- Process improvement, workforce planning, and quality management are relevant to the role.
About the team
Amazon Robotics develops robotics for fulfillment centers, including computer vision, mobile robots, and robotic tooling.
Global Operations–Artificial Intelligence supports Amazon's machine-learning transformation through human-in-the-loop operations.
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