Team Manager I At Amazon.com Around Boston, MA, USA

Amazon.com

Team Manager, Manager I

Job type: Temporary (9-month fixed term)
Job category: Management
Hiring Organization: Amazon.com Services LLC
Job ID: 2596364
Location: Boston, MA, USA

About the Role:

Join Amazon in pioneering generative AI and responsible development of large language models (LLMs) as a Team Manager. Lead a team responsible for generating data demonstrations used in Supervised Fine Tuning (SFT) of LLMs. This role offers a unique opportunity to contribute to groundbreaking AI initiatives in a fast-paced environment.

Key Responsibilities:

  • Manage a team of AI Content Writers and Data Generation Specialists.
  • Review guidelines, suggest updates, and ensure high-quality data.
  • Support process improvements, formulate guidelines, and provide data insights.
  • Monitor team performance and adherence to guidelines.
  • Identify issues, track progress of escalations, and propose mitigation strategies.
  • Conduct root cause analysis and contribute to escalation management.
  • Coordinate training and coach team members to meet work requirements.

Basic Qualifications:

  • Bachelor’s Degree in a relevant field.
  • Experience managing high-performing teams of up to 30 direct reports.
  • Proficiency in English across verbal, written, reading, and comprehension skills.
  • Experience with process improvement/quality control tools and methods.
  • Strong interpersonal, analytical, and communication skills.
  • Leadership experience in coaching, performance management, and managing operational escalations.
  • Passion for delivering a positive customer experience and maintaining composure in ambiguous situations.

Preferred Qualifications:

  • Master’s Degree in a relevant field.
  • Working knowledge of SQL, Python, and/or Machine Learning.
  • Familiarity with Large Language Models.
  • Experience in detailed content classification and data generation.
  • Comfort working in ambiguous roles.

Compensation:

Competitive compensation package based on experience and location.

To apply for this job please visit amazon.jobs.

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