नोकरीचे वर्णन

About the Role

This position, based in the United States, is managed on behalf of a partner company seeking a Customer Success Manager. The role entails guiding enterprise customers through the successful adoption of cutting-edge artificial intelligence technologies, helping them maximize the value derived from advanced computing solutions. As a strategic advisor, you will assist organizations in converting their AI ambitions into concrete, measurable business outcomes.

This role requires managing customer relationships, possessing technical knowledge, and collaborating cross-functionally with product, engineering, sales, and services teams. You will oversee the full customer journey, from onboarding and deployment to expansion, retention, and fostering long-term partnerships.

Key Responsibilities

Manage end-to-end post-sales engagements for a portfolio of enterprise clients, serving as the primary contact during onboarding, adoption, renewals, and expansion cycles.
Create customer success plans aligned with business goals, translating AI implementation objectives into actionable value realization strategies.
Lead onboarding and deployment efforts by working closely with solutions engineering, professional services, product, and technical teams.
Track customer platform adoption, usage, and engagement metrics to detect risks, enhance satisfaction, and promote retention.
Identify and pursue account growth opportunities by proposing additional solutions and expanding use cases within customer organizations.
Convey customer feedback, product needs, and feature requests to internal product and engineering teams, representing the customer’s perspective.
Conduct executive business reviews demonstrating return on investment, progress of adoption, usage trends, and strategic advice.
Collaborate with sales, marketing, and technical teams to develop customer advocacy programs, including references and success cases.
Build and maintain trusted relationships with both technical and executive stakeholders to ensure customers gain maximum value from the platform.

Qualifications

Between 5 to 10+ years of experience in Customer Success, Technical Account Management, or similar enterprise-facing roles.
Experience with complex enterprise customers in AI/ML infrastructure, cloud computing, advanced technology sectors, SaaS, PaaS, or hardware/software environments is preferred.
Proven track record of managing multi-stakeholder accounts and establishing strong relationships with executive business and technical audiences.
Working knowledge of AI/ML workflows, large language models (LLMs), machine learning infrastructure, or high-performance computing principles.
Demonstrated ability to drive customer adoption, retention, expansion, and business impact.
Strong project management skills capable of balancing multiple priorities and facilitating cross-functional initiatives.
Excellent communication and presentation skills, adept at translating complex technical concepts for both technical teams and executives.
Analytical mindset for identifying customer trends, risks, and growth prospects.
Bachelor’s degree or equivalent experience in technical, business, or related disciplines.
Familiarity with AI accelerators, GPUs, LLM fine-tuning, inference technologies, MLOps platforms, or enterprise AI solutions is advantageous.
MBA or an advanced technical degree is preferred.

Benefits

Competitive base salary between $148,500 and $181,500 per year.
Comprehensive total rewards including salary, equity options, and employee benefits.
Medical insurance covering 95% of employee premiums and 77% for dependents.
Employer-supported Health Savings Account (HSA) contributions.
Additional insurance plans including dental, vision, disability, life, and accidental death and dismemberment (AD&D).
Flexible Spending Accounts (FSA) for healthcare, limited-purpose, and dependent care.
Wellness resources including Headspace subscription, gym membership access, and healthcare support services.
Employee Assistance Program offering counseling and wellbeing support.
Engagement with innovative AI technologies shaping enterprise computing's future.
Collaborative work environment with expert teams tackling complex technical challenges.
Opportunities for professional advancement within a fast-growing technology field.

Additional Information

The hiring process includes a data privacy notice: your personal information will be processed to assess your candidacy and shared with the employer under applicable data protection laws. AI tools may assist in application review and candidate assessment, but final decisions are made by human evaluators.

Customer Success Manager