Team Manager, RBKS AI Data

Amazon Inc.; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Amazon is seeking an experienced Team Manager to lead a group of 20–25 ML Data Associates in Hyderabad, India. The role focuses on guiding annotation and data workflows, maintaining quality, and meeting SLAs. You will work with cross-functional teams to drive process improvements and coach team members.

The ideal candidate has 5–7 years of experience, strong communication skills, and a proactive approach to resolving issues while safeguarding confidentiality and compliance.

Qualifications

• BE/BTech/BSc or equivalent degree in engineering or science.
• 5–7 years of experience with at least 1–2 years in a team-lead/people-management role.
• Graduate in any field; quantitative STEM preferred but not mandatory.
• Strong familiarity with the Windows desktop environment and MS Office tools.
• Excellent verbal and written communication skills.

Responsibilities

• Manages team size of 20 to 25 ML Data Associates.
• Executes plans for team to perform tasks related to multiple ML workflows in a well-defined process area.
• Ensures ML data workflows are quality compliant. Analyzes ML data, SIM issues, and metrics.
• Identifies risks and ensures escalations reach the right people. Adherence to confidentiality and compliance requirements.
• Responsible for known SLAs and task completion targets for specific customers.
• Works with internal/external teams and uses knowledge to execute business goals.
• Uses data to set/revisit operational goals and manage activities.
• Manages escalation/complex tickets; analyzes data; highlights trends and reports key metrics.
• Presents data in business meetings/reviews.
• Design and implement process improvement projects that impact team performance.

Skills

Team leadership

People management

Data analysis

MS Excel

Education

BE/BTech/BSc

Tools

MS Office

Job description

Job ID: 10554172 | ADCI HYD 16 SEZ - H83

Interested in improving the technology and features powering Amazon Devices? Come work on it. We are building the speech and language solutions behind Ring and other Alexa-enabled products and services.

Key job responsibilities

• Manages team size of 20 to 25 ML Data Associates.
• Executes plans for team to perform tasks related to multiple ML workflows in a well-defined process area.
• Ensures ML data workflows are quality compliant. Analyzes ML data, SIM issues, and metrics. Highlights trends, gaps, etc. Provides status reports.
• Identifies risks and ensures escalations reach the right people. Adherence to confidentiality and compliance requirements
• Responsible for known SLAs and task completion targets (within provided capacity) for specific customers.
• Works with internal/ external teams and uses his/her knowledge and expertise to execute business goals
• Uses data to set/revisit operational goals and manage activities
• Manages escalation/ complex tickets; analyzes data; highlights trends, gaps, etc.; and reports key metrics
• Presents data in business meetings/reviews
• Design and implement process improvement projects that impact team level performance. Participates in new workflow roll out projects teams.
• Coaches direct reports on demonstrating leadership principles in their role.
• Assigns appropriate challenging work to employees to develop & prepare them for larger roles.
• Provides team guidance on work types and prioritization. Work of team primarily focuses on straightforward, well-defined objectives, but may take on ad hoc and ill-defined requests.
• Devises and implements performance improvement plans for associates. Provides regular coaching and feedback to direct reports with regard to quality, performance, behavior and career development.
• Performance manages team based on metrics & deliverables on a regular basis, and make decisions on hiring & firing.
• Holds team members accountable for performance based on metrics and adherence to rules and guidelines.

A day in the life

Amazon is seeking an experienced team manager to manage team of 20-25 annotation experts. The Team Manager will lead the annotations effort in India and partner closely with the Operations Manager. S/he will become an expert in the annotation processes, train and support the team, maintain accuracy and throughput standards.

Connect with our stakeholders to understand the key annotation requirements and train associates to deliver efficient annotations. He/she conduct close-loop sessions with research team members to know more about the ML model KPIs (Key Performance Indicators) and propose scalable solutions to improvise the efficiency.

Basic Qualifications

• BE, BSC candidates, B tech - Mtech, Msc , IT, ECE, ELECTRICAL ELECTRONIC ENGIEERING
• Comes with an industry experience of 5 to 7 years with at-least 1 to 2 years in team lead/people management role.
• A graduate in any field of study. Quantitative fields such as science and engineering preferred but not mandatory
• Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
• Excellent verbal and written communication skills

Preferred Qualifications

• Strong attention to detail and organizational skills
• Good project management skills
• Strong judgment and instincts and able to prioritize in complex, fast-paced environment
• Strong people management skills and ability to lead by example
• Ability to adapt to dynamic project requirements
• High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.