Atlan is a company focused on building the context layer for enterprise AI, connecting business context behind data for improved accuracy and confidence. As a Strategic Customer Success Manager, you will engage with Fortune 500 and high-growth enterprise customers to drive adoption and measurable outcomes from their AI initiatives while building strong relationships with key stakeholders.
Responsibilities:
- Lead the AI Context Layer: Help customers unlock the full potential of their AI initiatives by ensuring their data is trusted, connected, and ready — Atlan sits at the heart of making AI work in the enterprise
- Partner with Industry Titans: Serve as a trusted advisor to Atlan's customers, including Fortune 500 enterprises and high-growth innovators
- Deliver Measurable Results: Drive clear ROI by helping customers adopt Atlan and see real business impact — through alignment, outcomes, and value, not just usage
- Shape the Future: Bring the voice of the customer into Atlan. Influence product direction, GTM strategy, and how we scale Customer Success
- Trusted Advisor: Deeply understand your customers' AI ambitions and business goals, then design a clear path to value using Atlan
- Relationship Maestro: Build and maintain strong relationships with CDOs, CIOs, Heads of Data, AI leads, and hands-on practitioners across the org
- Success Champion: Own the customer journey end to end — from onboarding and adoption through renewals and expansion — driving long-term success
- AI Evangelist: Capture and share customer wins, helping elevate Atlan's impact across the global AI and data community
Requirements:
- 5-7 years + of professional experience, with 3–5+ years in Customer Success, Consulting, or a closely adjacent customer-facing role
- You've built workflows, tools, and processes using AI and you bring that same energy to your customers
- AI isn't a feature you're curious about — it's how you work. You build with it daily
- You care deeply about customer success and believe in the transformative power of trusted, connected data as the foundation for AI
- Strong understanding of modern data and AI ecosystems — tools like Snowflake, BigQuery, Tableau, Looker, dbt, and similar technologies
- You can translate customer needs into clear insights, success plans, and measurable ROI tied to business outcomes
- Experience owning or supporting renewals and identifying expansion opportunities through value-driven conversations