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People Manager EMSX , EMSX

Amazon

People Manager EMSX , EMSX

Amazon

Bangalore, KA, IND

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave

Flexible work

Wellness programs

Stock options

Generous PTO

Health benefits

Parental Leave

Gym

Equity

Unlimited Pto

Healthcare

Required Skills

Lever

ADP

Greenhouse

Join the Seller AI team where you'll lead benchmarking and evaluation of AI models that enhance the seller experience across Amazon's global marketplace. You'll manage a team dedicated to validating, testing, and improving Artificial Intelligence (AI) and Large Language Models (LLMs) that power innovative seller tools. This role combines strategic leadership with hands-on technical oversight, requiring exceptional communication skills, team management, and stakeholder engagement.
In this position, you'll drive the development and implementation of comprehensive benchmarking methodologies to evaluate AI model performance across accuracy, robustness, bias, and reliability metrics. Your expertise will be crucial in translating technical findings into actionable insights that improve Seller Assistant's performance and contribute to the growth of Amazon's seller community worldwide.
Key job responsibilities
1. Plan and execute benchmarking exercises for AI models, defining test plans, metrics, and acceptance criteria across accuracy, robustness, bias, and reliability dimensions
2. Lead a team responsible for validating data based on specific annotation guidelines, ensuring accuracy and quality while escalating potential regulatory risks
3. Prepare comprehensive audit and benchmarking reports, including error ratings, root-cause analysis, and recommendations for senior stakeholders
4. Drive process efficiencies and explore automation opportunities to enhance the productivity of data generation initiatives
5. Mentor team members and help develop their skills while managing overall schedules, proactively mitigating risks, and keeping project scope under control.
A day in the life
Your day begins with prioritizing benchmarking tasks for your team based on current business requirements. You'll review progress on ongoing audits, provide guidance where needed, and ensure deliverables meet quality standards. Throughout the day, you'll analyze performance data from Seller Assistant tools, identifying patterns and insights that could improve AI model effectiveness. You'll wrap up by preparing detailed presentations that showcase your team's findings and recommendations to leadership, highlighting opportunities to enhance the seller experience.
About the team
The Seller AI team within International Seller Services is dedicated to creating Gen-AI/LLM powered tools and agentic solutions that accelerate business growth for Amazon sellers worldwide. We focus on handling annotations for training, measuring, and improving Artificial Intelligence and Large Language Models to deliver superior seller experiences. Our team combines technical expertise with a deep understanding of seller needs to develop innovative solutions that simplify complex tasks and drive business growth.
By joining us, you'll play a pivotal role in shaping the future of selling on Amazon, working with cutting-edge AI technologies that directly impact millions of sellers across global marketplaces.

Basic Qualifications

  • Bachelor's degree, or MBA in business, data science, public administration, finance, engineering, human resources or related field
    • Min. 5 to 8 years of exp. as a People Manager with good communication skills

Preferred Qualifications

  • Experience in people management
    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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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge