
Customer Success Manager
Required Skills
Job Description
Job Title: Customer Success Manager
Job Type: Full-time
Location: Remote
Job Summary:
Join our internal team as a Customer Success Manager, where your expertise in Human Data/AI training and RLHF operations can make a real difference. You will play a pivotal role in orchestrating large-scale client onboarding, building meaningful relationships, and ensuring client and candidate satisfaction. This is a fantastic opportunity for someone who thrives in a collaborative remote setting and is passionate about making an impact in the AI and data space.
Key Responsibilities:
• Lead and manage large-scale onboarding processes to ensure seamless client integration and outstanding satisfaction.
• Build and nurture trusted relationships with clients through clear, thoughtful written and verbal communication.
• Analyze and interpret data, providing actionable insights that support client goals and success.
• Generate regular reports on key performance metrics and project progress, ensuring transparency.
• Take deep ownership of client outcomes, employing a proactive and solution-oriented mindset.
• Drive engagement initiatives within our talent pool community, including hosting interactive events.
• Collaborate closely with development teams to align deliverables with evolving client needs.
Required Skills and Qualifications:
• Outstanding written and verbal communication skills, with a genuine care for clarity and empathy.
• Proven ability in managing and executing large-scale onboarding processes.
• Strong sense of ownership and responsibility in client-facing environments.
• Proficiency in independent problem-solving within remote work settings.
• Comfort working in fast-paced, dynamic environments.
• Familiarity with data analysis and reporting tools is a plus.
Preferred Qualifications:
• Hands-on experience with Human Data/AI training or RLHF operations.
• Experience in client and developer-facing roles within tech or AI sectors.
• Background in remote or distributed team environments.
• Understanding of industry-specific tools for data operations.
Become a key member of our internal team, where your drive for client success, initiative, and communication skills will be highly valued and instrumental in shaping the future of AI-driven solutions.