Customer Success Executive (AI Infrastructure)

IXL Cloud enables businesses, start-ups, researchers, and developers to train, deploy, and scale their AI systems with unmatched performance and flexibility.

We accelerate their AI journey by delivering leading GPU infrastructure, seamless scalability, and AI-first operational support—helping bring advanced AI applications to fruition without the complexity of managing underlying compute architecture.

Your Responsibilities

• Onboarding & Engagement : Lead onboarding sessions for new accounts, ensuring fast time-to-value and smooth adoption of platform capabilities.
• Account Management : Act as the primary point of contact for your portfolio of customers—monitoring usage, renewals, and satisfaction.
• Proactive Support : Identify and resolve potential issues before they become problems (e.g. underutilized resources, quota bottlenecks, unexpected costs).
• Education & Enablement : Help customers understand our platform—through training sessions, how-to guides, demos, and personalized recommendations.
• Customer Advocacy : Capture feedback, feature requests, and unmet needs—ensuring they’re heard by the product and engineering teams.
• Churn Prevention : Track customer health metrics and usage patterns. Intervene with strategic touchpoints to retain and grow high-value accounts.
• Collaboration with Sales & Solutions : Partner with solutions architects and growth teams to drive expansions, upsells, and long-term success.

What You Bring

• 1–6 years in Customer Success, Account Management, or Technical Support in a SaaS or cloud infrastructure company.
• Strong technical literacy—able to understand compute products, basic ML workflows, and containerized/cloud-native infrastructure.
• Excellent written and verbal communication skills, with the ability to tailor messages across technical and non-technical audiences.
• Highly organized, with a data-driven mindset and experience managing multiple customer accounts.
• Familiarity with tools like Intercom, HubSpot, Salesforce, and CRM best practices.
• Bonus: Previous experience with AI/ML clients or working alongside ML solutions teams.