Job Overview

  • Date Posted
    June 17, 2025
  • Expiration date
    July 15, 2025
  • Experience
    2 Year

Job Description

We are seeking a detail-oriented and dynamic Customer Success Manager to join our team. The ideal candidate will have hands-on experience in Human Data/AI training and Reinforcement Learning from Human Feedback (RLHF) operations. Your primary responsibility will be to ensure the successful onboarding and satisfaction of our clients, utilizing your expertise in large-scale projects to drive client success. If you thrive in remote work environments and excel at client communication, this might be the perfect opportunity for you.

Key Responsibilities:

  • Lead large-scale client onboarding processes, ensuring smooth transitions and satisfaction.
  • Develop and maintain strong client relationships through effective communication.
  • Analyze and interpret data to provide actionable insights and enhance client success.
  • Report on key metrics and progress, ensuring transparency and alignment with client expectations.
  • Demonstrate deep ownership by taking full responsibility for client success outcomes.
  • Collaborate with development teams to align project goals and deliverables.
  • Monitor client feedback and proactively identify areas for improvement.

Required Skills and Qualifications:

  • Proven experience in Human Data/AI training or RLHF operations.
  • Exceptional written and verbal communication skills.
  • Strong background in managing large-scale onboardings.
  • Proficiency in data analysis and reporting tools is nice to have.
  • Demonstrated ability to take deep ownership and responsibility in client-facing roles.
  • Problem-solving skills and the ability to work independently in a remote setting.
  • Ability to thrive in a fast-paced and dynamic environment.

Preferred Qualifications:

  • Experience in a client and developer-facing role within the tech or AI industry.
  • Previous experience working in remote or distributed teams.
  • Knowledge of industry-specific tools and technologies for data operations.