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Team Manager - German or Italian, Artificial General Intelligence Data Services , AGI Data Services

ID: 6462

Type: Full-time

Category: Others

Company Name: Amazon MLS Poland Sp. z o.o. - K69

Location: POL, Gdansk - Gdańsk - Poland

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Job Description

I is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us!

Key job responsibilities
As Team Manager, you will be responsible for:
- Manage job assignment on a day-to-day basis, monitoring performance on job or queue adherence, volume, and quality
- Support hiring and training of new Associates
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis
- Develop the work schedule for the week by balancing work across various workflows and/or navigating competing delivery priorities
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies
- Track quality and utilization metrics
- File and track tickets, following up on blocks to productivity
- Provide regular, formal & informal feedback to direct reports
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean

The minimum base pay salary for this position is listed below. As a total compensation company, Amazon's package may include further pay components such as performance bonuses, where applicable. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements.Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, MultiSport card, discounts for meals at the company’s canteen, employee discount code and program (EDC/Extras), and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).
The minimum base pay for this position is PLN 9,875 monthly.


A day in the life
We are seeking an experienced team manager to join our operations in Gdansk to develop, manage, and support our Data Services team with speech and language solutions.

About the team
The AGI-DS organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa’s speech recognition and language understanding capabilities.

Basic Qualifications

- Proficiency verbal and written communication in English & German or Italian | B2+ level for all
- Bachelor Degree (any subject) or advanced college education or experience in a Leadership or related position with management
- Experience in understanding performance metrics and developing them to measure progress against key performance indicators

Preferred Qualifications

- Experience with process improvement/quality control tools and methods
- Demonstrated ability to lead talent within a team, work cross-functionally, and build consensus on difficult issues
- Excellent communication, strong organizational skills and very detail-oriented
- Strong interest in hiring and developing people in their respective roles
- Leadership experience in coaching and performance management
- Experience in managing process and operational escalations
- Experience with aspects of speech and language technology

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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.

Company Information

Company Name: Amazon MLS Poland Sp. z o.o. - K69

Company Website: https://aws.amazon.com

Company Address: POL, Gdansk

Amazon Web Services (AWS) is the cloud computing subsidiary of Amazon.com, Inc., operating as a global provider of on-demand cloud infrastructure, platform services, and application-level tools. Launched in 2006, AWS offers a broad and continually expanding portfolio of services that enable organizations of all sizes to run virtually any type of workload in the cloud, from basic hosting and storage to advanced machine learning (ML), analytics, and large-scale distributed systems. AWS’s core value proposition is to provide scalable, pay-as-you-go computing resources and managed services that reduce the operational burden on customers, accelerate time to market for new products, and enable cost optimization through flexible consumption models. Core business activities - Infrastructure-as-a-Service (IaaS): AWS provides foundational compute, storage and networking resources that customers can provision and scale on demand. Key compute services include Amazon Elastic Compute Cloud (EC2) and container services such as Amazon Elastic Kubernetes Service (EKS) and Amazon Elastic Container Service (ECS). Storage and data persistence services include Amazon Simple Storage Service (S3), Amazon Elastic Block Store (EBS), and Amazon FSx for managed file systems. - Platform and Database Services: AWS offers fully managed database services (Amazon Relational Database Service — RDS, Amazon Aurora, Amazon DynamoDB for NoSQL), caching (Amazon ElastiCache), and serverless compute (AWS Lambda) to help developers build and run applications without managing underlying infrastructure. - Machine Learning and Artificial Intelligence: AWS provides a comprehensive ML portfolio that spans infrastructure for model training and inference, managed ML platforms and developer-facing AI services. Amazon SageMaker is the primary managed service for building, training, tuning, and deploying machine learning models at scale. In addition, AWS offers pre-built AI services for vision (Amazon Rekognition), language (Amazon Comprehend, Amazon Translate, Amazon Polly), and conversational interfaces (Amazon Lex). - Data Analytics and Big Data: AWS supplies a range of analytics services including Amazon Redshift (data warehousing), Amazon EMR (managed Hadoop/Spark), AWS Glue (ETL), and streaming services like Amazon Kinesis to support real-time data ingestion and processing. - Security, Identity and Compliance: AWS provides security services and frameworks for identity and access management (AWS IAM), encryption, key management (AWS KMS), monitoring and logging (Amazon CloudWatch, AWS CloudTrail), and compliance tooling to help customers meet regulatory requirements. - Developer Tools and Application Integration: A broad set of developer-centric tools (AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline) and integration services (Amazon Simple Notification Service — SNS, Simple Queue Service — SQS, EventBridge) support CI/CD, microservices architectures, and event-driven applications. - Managed Edge and IoT Services: Services for edge computing and IoT device management (AWS IoT Core, AWS Greengrass) enable low-latency and distributed compute use cases. Main products or services AWS’s product catalog is extensive; the most widely used and recognizable offerings include Amazon EC2, Amazon S3, AWS Lambda, Amazon RDS, Amazon DynamoDB, Amazon SageMaker, Amazon Redshift, Amazon VPC (virtual private cloud), and AWS Identity and Access Management. Beyond foundational compute/storage/database offerings, AWS provides specialized services for analytics, machine learning, security, developer tooling, migration, media processing, and industry-specific solutions. Amazon ML Solutions Lab and related ML initiatives AWS operates programs such as the ML Solutions Lab (often referred to as “ML Solutions Lab” or “MLS Lab”) that pair AWS machine learning experts with customers to accelerate ML adoption and help build proof-of-concepts and production ML systems. These programs are designed to combine customer domain expertise with AWS technical knowledge, covering model prototyping, data strategy, MLOps (machine learning operations), and deployment strategies using AWS services such as SageMaker, AWS Glue, and related analytics tools. Global footprint and regional operations AWS is a global infrastructure provider organized into geographic Regions and Availability Zones to enable low-latency access, high availability and fault tolerance. AWS continually invests in new regions, edge locations, and local offices to support customers worldwide. For customers in Poland and across Europe, AWS supports deployments by providing services from nearby European regions and by maintaining local sales, professional services, partner ecosystems, and training programs. AWS works with local governments, enterprises, startups, and academic institutions to support cloud adoption, skills development, and compliance with regional data protection rules. Customers, partners and ecosystem AWS serves millions of active customers across startups, large enterprises, public sector organizations, research institutions and independent software vendors. The AWS Partner Network (APN) comprises consulting and technology partners who provide migration, application development, managed services, and specialized industry solutions on AWS. AWS’s marketplace and partner ecosystem enable customers to access third-party software and services optimized for AWS. Mission and approach (as stated in official AWS materials) AWS’s stated approach centers on enabling customers to innovate faster by delivering flexible, secure, and cost-effective cloud services. AWS emphasizes a customer-obsessed culture, continuous delivery of new services and features, and a responsibility to provide secure and compliant infrastructure for customer workloads. Use cases and industries AWS supports a wide array of use cases including web and mobile applications, enterprise IT modernization, high-performance computing, data lakes and analytics, ML-driven personalization and forecasting, content delivery and media processing, IoT solutions, and regulated workloads for healthcare, finance, and government. AWS’s capability set and partner ecosystem enable tailored architectures to meet industry-specific requirements. Summary Amazon Web Services is a leading cloud platform providing a deep and broad set of infrastructure and managed services that enable organizations to build, run, and scale applications in the cloud. Its offerings include core compute, storage and database services; a wide range of analytics and machine learning products (notably SageMaker and ML-focused programs such as the ML Solutions Lab); security and governance tools; and developer and migration services. AWS’s global infrastructure and partner ecosystem support localized operations in Europe, including customer engagement and technical enablement in Poland and neighboring markets.
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