AI/ML Team Manager, Artificial General Intelligence – Data Services

Amazon is hiring an AI/ML Team Manager, Artificial General Intelligence – Data Services in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions speech, project management and planning among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Provide project planning, structuring, and operational support for surface radar production and integration teams.

speechproject-managementplanningreportingradar-systemsoperations-support

Interested in improving the technology and features powering Alexa? Come work on it. We are building the speech and language solutions behind Amazon Echo and other Alexa-enabled products and services. Alexa Data Services’ mission is to provide high-quality labelled data for machine learning (ML) technologies.

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
• Communicate effectively in English

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

About the team
The ADS team researches and delivers high-calibre multi-language Text-to-Speech technology, leading to voice quality and accuracy.

Basic qualifications

- • Bachelor Degree (Any Stream) or advanced college education or experience in a Leadership or related position with management.
- • Proficiency verbal and written communication skills in English
- • 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 diverse 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
- • Fluency in a foreign language (German, French or Italian) is a plus
- • Experience in practical application of methodologies such as Kaizen, six sigma, or lean

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

How we rate this

AI/ML Team Manager, Artificial General Intelligence – Data Services at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI/ML Team Manager, Artificial General Intelligence – Data Services is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in GB, London.
The job was posted on July 28, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SpeechProject ManagementPlanningReportingRadar SystemsOperations Support

Questions you could be asked

What have you built with speech recognition or text-to-speech, and where did it break?
Tell me about a project where project management was part of your work. What did you do?
Tell me about a project where planning was part of your work. What did you do?
Tell me about a project where reporting was part of your work. What did you do?
Tell me about a project where radar systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Speech, Project Management, Planning, Reporting, and Radar Systems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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