Customer Success Manager

Company Description:

MillionLogics is a trusted Oracle Partner and global leader in IT solutions, with operations in London, UK, and a development hub in Hyderabad, India. Specializing in innovative and scalable services, MillionLogics empowers enterprises through data & AI, cloud solutions, IT consulting, and custom application development. With a team of 85+ AI/ML experts, we deliver tailored solutions that foster digital transformation and operational excellence. We're committed to client success. We blend world-class technical expertise with strategic insight to deliver results.

Role Overview

We are seeking experienced Customer Success Managers to help train advanced AI systems. You will create, evaluate, and refine realistic tasks involving customer onboarding, adoption, retention, renewals, account health, stakeholder management, and value realization. You will verify accuracy, relevance, and practicality, helping AI produce clear, customer-focused solutions aligned with proven success practices and real-world business needs.

Offer details:

• Mode of work: Remote
• Employment Type: Contract
• Commitments Required: Full-time. 40 hours per week with at least 4 hours PST overlap
• Start Date: Immediate
• Number of openings: 5
• Pay: Competitive
• Years of Experience: 8-15 years

Skill

• 8–15 years of experience in Customer Success or account management, primarily within enterprise SaaS environments.
• Proven ownership of strategic enterprise accounts, including complex customer lifecycles, renewals, retention, and revenue growth.
• Strong experience developing health-score frameworks, renewal playbooks, risk-management processes, and success metrics.
• Demonstrated ability to build trusted relationships with executive stakeholders and lead business reviews and escalations.
• Expert in designing onboarding, adoption, value-realization, retention, and account-expansion strategies.

Responsibilities

• Produce high-difficulty expert tasks and gold-standard solutions in the functional area.
• Review and calibrate team members' output and own day-to-day quality.
• Escalate genuine edge cases and rubric ambiguities to the Functional SME (Expert) Lead.

Education & Experience

• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

How to Apply:

Please apply here on LinkedIn or share your updated CV with us at with the email subject - Senior AI Trainer-Customer Success Managers