People Manager EMSX , EMSX

Amazon Jobs; Bengaluru; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A global tech company seeks an experienced manager for their Seller AI team. You will lead benchmarking of AI models to enhance seller experiences, managing a team dedicated to validating AI tools. Responsibilities include executing benchmarking exercises, preparing reports, and mentoring team members. The ideal candidate will have a Bachelor's degree or MBA and 5 to 8 years of experience in a management role, along with strong communication and analytical skills. Join us in driving innovation in our global marketplace.

Qualifications

• 5 to 8 years of experience as a People Manager.
• Good communication skills are essential.
• Experience in people management is required.

Responsibilities

• Plan and execute benchmarking exercises for AI models.
• Lead a team validating data for accuracy and quality.
• Prepare comprehensive audit and benchmarking reports.
• Drive process efficiencies and explore automation opportunities.
• Mentor team members and manage schedules.

Skills

Team management

Communication skills

Benchmarking methodologies

Data analysis

Process efficiency

Education

Bachelor's degree or MBA in related field

Job description

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.

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 experience as a People Manager with good communication skills.
• Experience in people management.

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