Customer Success Manager

Accountabilities: Manage the complete post-sales relationship for a portfolio of enterprise customers, acting as the primary point of contact throughout onboarding, adoption, renewal, and expansion phases. Develop customer success plans aligned with business objectives, translating AI adoption goals into measurable outcomes and value realization strategies. Lead onboarding and deployment initiatives by coordinating closely with solutions engineering, professional services, product, and technical teams. Monitor customer adoption, platform usage, and engagement metrics to identify risks, improve satisfaction, and support long-term retention. Proactively identify opportunities for account growth by introducing additional solutions, use cases, and expansion opportunities across customer organizations. Represent the voice of the customer internally by sharing feedback, product needs, feature requests, and roadmap insights with product and engineering teams. Conduct executive business reviews to demonstrate ROI, adoption progress, usage trends, and strategic recommendations. Collaborate with sales, marketing, and technical teams to develop customer advocacy initiatives, references, and success stories. Build trusted relationships with both technical and executive stakeholders to ensure customers achieve maximum value from the platform. Requirements: 5–10+ years of experience in Customer Success, Technical Account Management, or similar enterprise-facing roles. Experience supporting complex enterprise customers within AI/ML infrastructure, cloud computing, deep technology, SaaS, PaaS, or hardware/software environments preferred. Proven ability to manage multi-stakeholder accounts and establish strong relationships with executive-level business and technical audiences. Working knowledge of AI/ML workflows, large language models (LLMs), machine learning infrastructure, or high-performance computing concepts. Demonstrated success driving customer adoption, retention, expansion, and measurable business outcomes. Strong project management skills with the ability to coordinate multiple priorities and cross-functional initiatives. Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical teams and executive audiences. Strong analytical mindset with the ability to identify customer trends, risks, and growth opportunities. Bachelor’s degree or equivalent experience in a technical, business, or related field. Experience with AI accelerators, GPUs, LLM fine-tuning, inference technologies, MLOps platforms, or enterprise AI solutions is a plus. MBA or advanced technical degree is preferred. Benefits: Competitive base salary range of $148,500 - $181,500 USD . Comprehensive total rewards package including salary, equity opportunities, and employee benefits. Medical insurance coverage with 95% premium coverage for employees and 77% premium coverage for dependents. Health Savings Account (HSA) with employer contribution. Dental, vision, short-term disability, long-term disability, basic life, voluntary life, and AD&D insurance plans. Flexible Spending Account (FSA) options, including healthcare, limited-purpose, and dependent care accounts. Wellness benefits including Headspace subscription, fitness membership access, and healthcare support services. Employee Assistance Program with counseling and wellbeing resources. Opportunity to work on innovative AI technologies shaping the future of enterprise computing. Collaborative environment with experienced teams solving complex technical challenges. Professional growth opportunities within a rapidly evolving technology sector.