Customer Success Manager

Airtable helps organizations build the applications and workflows they need to run their most important business processes, without being constrained by off-the-shelf software. Its flexible platform combines a relational database, custom applications, automations, and AI, giving teams the building blocks to create solutions around the way they actually work. Just like Lego blocks, what our customers can build with Airtable is virtually limitless.  That flexibility is why more than 500,000 organizations, including 80% of the Fortune 100, use Airtable to power critical work across their businesses.

About the role

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At Airtable, we are passionate about how our product democratizes software creation and empowers teams to build applications that connect their organization and drive outcomes, no code needed. As a Customer Success Manager, you will be the post-sales owner for a portfolio of enterprise customers, guiding them from onboarding through renewal as they adopt Airtable and our AI capabilities. You will help customers turn AI adoption and workflow innovation into measurable business outcomes, and you will partner closely with Account Executives so they can focus on growth.

Customer Success at Airtable sits at the nexus of our Sales, Product and Marketing teams. We hire Customer Success Managers into one of two teams (Scaled and High Touch), depending on your experience and where our team needs you most. We will talk with you about which team is the best fit during the interview process.

What you'll do

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• Serve as the post-sales point of contact for your accounts, guiding customers to the right answer or the right Airtable team when you cannot resolve something yourself
• Drive onboarding excellence, working with customers on a mutual plan so their primary workflows launch within 90 days, with governance and best practices in place from the start
• Build joint success plans with customers focused on AI adoption, business outcomes and operational efficiency
• Lead Executive Business Reviews and data-driven value reviews th...

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