Enterprise Customer Success Manager

Nebius is leading a new era in cloud infrastructure for the global AI economy. As an Enterprise Customer Success Manager at Tavily, you will guide enterprise customers through their journey with Tavily’s AI-powered search platform, from onboarding to long-term adoption and expansion.

Responsibilities:

• Serve as a trusted partner, guiding customers through onboarding, implementation, and long-term adoption of Tavily’s AI search platform
• Lead onboarding engagements by ensuring smooth integration, connectivity setup, and value realization across customer projects
• Develop and deliver scalable onboarding materials: tutorials, “cookbooks,” best-practice guides, reference implementations
• Proactively monitor customer health, usage metrics, and adoption signals to identify churn risk and expansion opportunities
• Work cross-functionally with Sales, GTM Engineering, and Product to ensure seamless customer journeys
• Be the voice of the customer, synthesizing feedback to influence Tavily’s product roadmap and developer experience improvements
• Shape the future of the post-sale experience at Tavily

Requirements:

• 5+ years in technical, customer-facing roles such as Customer Success, Customer Success Architect, Implementation Consultant, or Renewals Account Manager, preferably in B2B SaaS
• Proven experience working with technical users of developer tools or modern AI/LLM-based platforms. Comfort navigating complex technical conversations with both developers and business stakeholders is required
• Outstanding communication and presentation skills; capable of building rapport across technical and executive audiences
• Strong commercial instincts, with experience managing renewal cycles, forecasting, upsell/cross-sell, and using CRM tools (e.g. HubSpot, Salesforce) for pipeline and customer tracking
• Deep empathy for customer outcomes, and a passion for helping users extract maximum value from our technology
• Self-driven and able to thrive in fast-moving, ambiguous environments while managing multiple priorities with high autonomy
• Familiarity with AI/LLM orchestration (e.g. LangChain or similar) is a plus