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Technical Account Manager, Data Collection Excellence

On-site in London·Added 22 days ago

Amazon

652 open roles

Overview

Requirements

  • Work on-site in London

    No relocation package mentioned.

  • Have 2+ years of experience

    Junior-level role.

Skills

Requirements

- Speak, write, and read fluently in German and English at C1 level or above
- Strong technical foundation with hands-on experience in Python or SQL, command-line tools (CLI), and JSON
- Minimum 2 years of experience in a customer-facing or client-facing technical role (e.g., technical support, solutions consulting, technical account management, implementation consulting, presales engineering, or similar) - Bachelor's degree in Computer Science, Business or a related field
- Experience in AI/ML data workflows, data annotation, or data collection operations

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.

The role

As a Technical Account Manager with German you'll be the trusted advisor for our AGI-DS scientists, providing expert consultation on ML/Gen AI data collections and managing customer relationships. You'll drive business value through technical advisory and partnership building, creating and managing workstreams that delight our customers and deliver meaningful change for the models that back them.

Key job responsibilities
Drive and document effective ML/GenAI solutions for customer requests, transforming complex research objectives into clear, actionable data collection requirements
Coordinate across teams to ensure seamless delivery and stakeholder alignment
Own relationships with customer scientists, becoming their go-to partner for ML data solutions
Provide consultation on ML workflow capabilities, helping customers maximize value
Monitor and optimize collection health metrics to ensure customer success
Drive customer adoption through providing technical value and the provision of an exemplary customer experience.

You'll also:
Guide customers on workflow feasibility and data collection best practices
Collaborate with implementation teams to define and validate technical requirements
Evaluate scalability of annotation scenarios and provide strategic recommendations
Influence technical documentation and guidelines

Hiring process

3 steps2 interviewsa task to do
  1. Online application

  2. Assessments

    Online test · Not every role

    Role-specific online assessments where the role requires them.

  3. Phone screening

    Phone call · Not every role

    If you meet the basic qualifications you may be asked to complete a phone screening.

  4. Interview loop

    With current employees

    Individual interviews with current employees, each assessing different aspects of your skills and experience; in person or remote.

  • Some candidates move directly to the interview loop without a phone screening.
  • Role-specific interview prep guides are published for SDE, SDM, PM, BIE and other roles.

About Amazon

Industry
E-commerce and Cloud
Founded
1994
Employees
1,000,000+
Headquarters
Seattle, USA
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