AI Advertising Systems Team Lead

2 weeks ago


Cape Town, Western Cape, South Africa Language Recruiters Full time

As a German Customer Success – Team Lead, you will spearhead a dynamic team responsible for refining and enhancing AI-powered advertising systems. Your role is crucial in supporting the creation of exceptional data-driven products in this pioneering domain. Your leadership will foster our client's team's resourcefulness, adaptability, and innovation as they navigate challenges and shape the future of AI-driven advertising.

Your key job responsibilities as the German Customer Success – Team Lead will include:

  • Mentor and guide Expert Raters, enhancing their proficiency in evaluating advertising content while ensuring compliance with AI standards.
  • Effectively manage and coordinate global teams, ensuring seamless operations and communication across various time zones and cultures.
  • Promote a culture of learning and exploration within the team.
  • Handle payroll management, PTO (Paid Time Off) requests, and performance reviews for the Expert Rater team, ensuring smooth operations.
  • Lead initiatives to improve evaluation quality, refine processes, and ensure Expert Raters meet the highest AI compliance standards.
  • Ensure all assessments and evaluations align with ethical considerations, AI standards, regulations, and platform policies.
  • Implement strategies to track and monitor Expert Rater performance, providing support and guidance to enhance their capabilities and efficiency.
  • Provide expertise in analyzing diverse datasets to identify meaningful patterns and trends, contributing to accurate evaluations and decisions.
  • Collaborate with other Team Leads across regions to establish and maintain best practices and standardization, ensuring alignment with global product strategy.

The ideal candidate for this German Customer Success – Team Lead role should have a minimum of 1 year of previous experience in a leadership role, preferably within a technical or data-driven domain. A strong understanding of data labeling, annotation, and evaluation methodologies is desirable. The successful candidate will be able to provide expert guidance on machine learning, Google AI learning path, and intermediate knowledge of Google Workspace.

This role is integral to ensuring the success of AI-powered advertising systems, driving innovation, and maintaining high standards of quality and compliance within the team.



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