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Technical Account Manager

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Onsite

Technical Account Manager

Amazon

Technical Account Manager

Skills

SQL QueriesPythonMachine LearningAI

1 month ago

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Important information


Location:

London, UK

Work mode:

Onsite

Published on:

22 September 2026

What they need


Who you are

  • 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

What the job involves

  • 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
  • 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
  • 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

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