CXO MovesLeadership & Strategy
Lindsey Irvine Joins Nebius as Chief Marketing Officer to Lead Global Brand and Growth

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Nebius has appointed Lindsey Irvine as Chief Marketing Officer, strengthening its executive leadership team as the company continues expanding its AI cloud infrastructure platform for enterprises.
In her new role, Lindsey will lead Nebius' global marketing organization, overseeing brand strategy, product marketing, demand generation, and go-to-market initiatives as the company scales its presence in the rapidly evolving AI cloud market.
Bringing Proven Enterprise Marketing Leadership
Lindsey joins Nebius from Square, where she led global marketing across brand, demand generation, product, and hardware, supporting more than 4.5 million sellers worldwide.
Prior to Square, she served as Chief Marketing Officer at Benchling, helping establish the company's position in the biotechnology R&D cloud market. Earlier in her career, Lindsey was Chief Marketing Officer at MuleSoft, where she helped guide the company's growth as annual recurring revenue expanded from $250 million to more than $1 billion during her tenure before its acquisition by Salesforce.
Driving the Next Phase of AI Cloud Growth
Commenting on her appointment, Lindsey highlighted the rapid transformation taking place across enterprise AI, noting that organizations are increasingly making strategic decisions about the cloud platforms that will power their AI initiatives.
She said Nebius offers a unique opportunity to help shape the emerging AI cloud category through its purpose-built infrastructure, growing customer base, and continued business momentum.
Looking Ahead
Lindsey's appointment reflects Nebius' continued investment in expanding its commercial leadership as demand for AI-native cloud infrastructure continues to grow. Her experience building global enterprise technology brands is expected to support the company's next stage of market expansion and customer growth.
About Nebius
Nebius is an AI cloud infrastructure company providing cloud computing platforms purpose-built for artificial intelligence workloads. The company delivers scalable infrastructure, GPU computing, and cloud services that enable enterprises and AI developers to build, train, and deploy AI applications.