Program Manager (Full-time), Community Feedback Annotation Team
Amazon.com
At Amazon Community Feedback, we're committed to building customer trust through our social and community features. Our Annotation team plays a crucial role in developing and refining AI-powered solutions that enhance these features.
As a Program Manager on our Annotation team, you'll lead our human-in-the-loop program, which is essential for developing and improving our AI models. This program directly supports our mission by ensuring that our AI-driven community features are accurate, reliable, and trustworthy for our customers.
This role requires a customer-focused approach, data-driven decision-making, and experience with performance optimization at scale. You'll work in a fast-paced environment where your ability to analyze deeply, communicate effectively, and drive change will be key to developing robust, scalable AI solutions that shape the future of Amazon's community features.
Key job responsibilities
AI Model Development and Improvement:
- Manage projects with Annotators and Auditors to deliver quality input data for AI model fine-tuning and evaluation.
- Work with stakeholders to forecast project pipelines and align headcount needs.
- Collaborate with stakeholders (product and science teams) to translate business needs into annotation guidelines.
Process Improvement and Data Analysis:
- Improve the efficiency and quality of our annotation processes.
- Analyze data to identify trends and insights, helping pinpoint areas for quality improvement.
- Work with the Community Annotation Team to prioritize business cases for process improvement.
Cross-functional Collaboration and Project Management:
- Serve as the primary point of contact between Annotators, Science, and Business teams.
- Manage medium to large-scale projects bridging Operations, Engineering, Science, and Business teams.
Technical Requirements:
- Advanced knowledge of Excel (Pivot Tables, VLookUps) and SQL.
- Familiarity with machine learning concepts and AI/ML platforms.
- Experience with data visualization tools (e.g., Quicksights).
- Understanding of natural language processing (NLP) techniques.
A day in the life
As a Program Manager for the Annotation team, you'll orchestrate high-quality training data provision and AI model performance evaluation. You'll collaborate with annotators, scientists, product managers, and engineers to manage workflows and drive improvements. Your role involves prioritizing projects, optimizing processes, and maintaining alignment. Key responsibilities include overseeing data quality, resource allocation, and project management to enhance annotation efficiency and facilitate communication between technical and non-technical teams. Your work will contribute to developing reliable AI-powered community features, ultimately improving end-user experiences with products like Customer Reviews on Amazon's platform.
About the team
This role and business teams are based in our Berlin, Germany office. We currently require 5 days per week in-office presence to facilitate close collaboration and rapid iteration in our AI development processes.
Berlin is home to renowned universities, research institutes, orchestras, museums and celebrities, as well as host of sporting events, it’s a world center for culture, politics, media and science too. Not surprisingly, Berlin is also a popular tourist destination. Here you can make the most of a wealth of diverse festivals, architecture, nightlife and contemporary arts, along with strong transport networks and a high quality of living.
Inclusive Team Culture
Here at Amazon, we embrace our differences and are committed to furthering our culture of inclusion. We offer 13 employee-led affinity groups with 190 global chapters. Some examples include the Amazon Women in Engineering (AWE), People with Disabilities (PwD) and Mental Health and Well-Being (MHW) at Amazon. We host frequent learning experiences to ensure DEI is consistently treated as a priority. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace, and take steps to ensure employees have a sense of belonging, value, and opportunity.
Our team is dedicated to supporting you with mentorship and pathways for ongoing development.
We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
As a Program Manager on our Annotation team, you'll lead our human-in-the-loop program, which is essential for developing and improving our AI models. This program directly supports our mission by ensuring that our AI-driven community features are accurate, reliable, and trustworthy for our customers.
This role requires a customer-focused approach, data-driven decision-making, and experience with performance optimization at scale. You'll work in a fast-paced environment where your ability to analyze deeply, communicate effectively, and drive change will be key to developing robust, scalable AI solutions that shape the future of Amazon's community features.
Key job responsibilities
AI Model Development and Improvement:
- Manage projects with Annotators and Auditors to deliver quality input data for AI model fine-tuning and evaluation.
- Work with stakeholders to forecast project pipelines and align headcount needs.
- Collaborate with stakeholders (product and science teams) to translate business needs into annotation guidelines.
Process Improvement and Data Analysis:
- Improve the efficiency and quality of our annotation processes.
- Analyze data to identify trends and insights, helping pinpoint areas for quality improvement.
- Work with the Community Annotation Team to prioritize business cases for process improvement.
Cross-functional Collaboration and Project Management:
- Serve as the primary point of contact between Annotators, Science, and Business teams.
- Manage medium to large-scale projects bridging Operations, Engineering, Science, and Business teams.
Technical Requirements:
- Advanced knowledge of Excel (Pivot Tables, VLookUps) and SQL.
- Familiarity with machine learning concepts and AI/ML platforms.
- Experience with data visualization tools (e.g., Quicksights).
- Understanding of natural language processing (NLP) techniques.
A day in the life
As a Program Manager for the Annotation team, you'll orchestrate high-quality training data provision and AI model performance evaluation. You'll collaborate with annotators, scientists, product managers, and engineers to manage workflows and drive improvements. Your role involves prioritizing projects, optimizing processes, and maintaining alignment. Key responsibilities include overseeing data quality, resource allocation, and project management to enhance annotation efficiency and facilitate communication between technical and non-technical teams. Your work will contribute to developing reliable AI-powered community features, ultimately improving end-user experiences with products like Customer Reviews on Amazon's platform.
About the team
This role and business teams are based in our Berlin, Germany office. We currently require 5 days per week in-office presence to facilitate close collaboration and rapid iteration in our AI development processes.
Berlin is home to renowned universities, research institutes, orchestras, museums and celebrities, as well as host of sporting events, it’s a world center for culture, politics, media and science too. Not surprisingly, Berlin is also a popular tourist destination. Here you can make the most of a wealth of diverse festivals, architecture, nightlife and contemporary arts, along with strong transport networks and a high quality of living.
Inclusive Team Culture
Here at Amazon, we embrace our differences and are committed to furthering our culture of inclusion. We offer 13 employee-led affinity groups with 190 global chapters. Some examples include the Amazon Women in Engineering (AWE), People with Disabilities (PwD) and Mental Health and Well-Being (MHW) at Amazon. We host frequent learning experiences to ensure DEI is consistently treated as a priority. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace, and take steps to ensure employees have a sense of belonging, value, and opportunity.
Our team is dedicated to supporting you with mentorship and pathways for ongoing development.
We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.
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