DatadogSeoul, South Korea; Sydney, Australia; Tokyo, Japanjust now
AmazonPosted 1mo ago
Manager I, MLD Ops, GO-AI at Amazon scores 31 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
IN, KA, Bangalore - Virtualmidfull-time
AI in this role
computer-vision
Manager I / Front line manager is accountable for the overall direction and operations of our site a team of 20-25 employees, creating a culture of customer obsession, high performance and high-quality throughput.
Key job responsibilities
• Should be a Graduate or equivalent
• Minimum 4 years of experience out of which 18 Months should be as team leader / team manager
• Proven leadership abilities with a track record of successfully managing and motivating teams.
• Excellent / V Good verbal and written communication skills in English
• Very good Presentation, Feedback & Coaching skills
• Ability to observe, analyze and identify process improvement opportunities
• Highly energetic & enthusiastic
• Should be able to lead by examples
• Hands on experience on MS-Office, preferably on MS-Excel and Power Point
• Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality
• Basic data handling and Data interpretation skills
• Should be comfortable with 24x7 rotational shifts
• Ability to pull data from numerous databases (using Excel and other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus.
• Communicating with Internal customers (ACES, Training, Quality etc.) – Drive and execute bar-raising initiatives aimed at hiring and developing top talent and build career development road-map for the associates.
A day in the life
• Lead, motivate and manage a team of 20 – 25 Employees.
• Measuring Team Developmental and Performance Goals and regular 1x1 with the team members
• Ensuring process deliverables per SLA, team and workflow management
• Responsible for delivering on operational and qualitative KPIs like APL, SPL, Quality scores etc.
• Ensuring all processes are conducted in compliance with company policies and guidelines
• Generating reports of team performance
• Internal Quality checks, Audits and ensuring appropriate trainings & conduct coaching session to succeed
• Translate organizational vision to actionable goals and guide the team in achieving them & review progress periodically
• Promote a culture of continuous learning and development within the team
• Prepare metrics, SOPs and create processes
• Analyze data to identify trends, bottlenecks and areas of improvement
• Work with the operations management team to develop and implement process improvements
About the team
Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers. Come build the future of human-technology interaction with us. We are combining computer vision, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of movement to solve real-world problems on a huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype, and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support.
Basic qualifications
- Bachelor's degree, or 4+ years of education or related field experience
- Experience demonstrating strong analytical abilities and confidence in the use of data
- Experience leading prioritization of tasks, team scheduling, time management, and meeting deadlines
Preferred qualifications
- 4+ years of people management experience, or Bachelor's degree
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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