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Former Snowflake executive joins AI startup Spectro Cloud

Mike Gannon, previously the revenue chief at Snowflake, has accepted a position as chief revenue officer at Spectro Cloud, an AI infrastructure startup.

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Gannon’s departure from Snowflake in April was described as “mutually negotiated” and occurred after he generated controversy with an interview featuring a TikTok influencer. The company subsequently filed a Securities and Exchange Commission disclosure, cautioning investors against relying on revenue projections shared in the clip.

Spectro Cloud, valued at $1 billion, provides software that enables businesses to securely deploy and manage AI, optimize costs, and monitor AI agents. Gannon’s role will focus on expanding sales to larger international clients.

According to CEO and cofounder Tenry Fu, Spectro Cloud is projecting $100 million in annual recurring revenue this year, having experienced two- to threefold annual growth over the past three years, with AI now representing over half of its business. The company recently secured over $100 million in a Series D funding round led by Goldman Sachs Alternatives.

Spectro Cloud offers a centralized platform for AI operations across various environments, including on-premise servers, cloud infrastructure, and remote locations, and assists in directing simpler tasks to more cost-effective AI models, reportedly reducing token costs for some customers by as much as 90% within a week.

Alongside Gannon, Spectro Cloud is also welcoming Peter Finter as its new chief marketing officer. The company is expanding its operations with new offices in London and Washington, D.C., and establishing partnerships in the Middle East. Current clients include T-Mobile, Airbus, and the US Air Force, in addition to collaborations with neoclouds.

Source

Business InsiderOriginal report ·

“Why Snowflake's former revenue chief is joining a little-known AI infrastructure startup”

Read the original report ↗

This story was written with the help of AI from the original report credited above and published after automatic checks. No person read it before publication. Errors reported to us are corrected and listed on our corrections page. Read our editorial policy · Report an error · Corrections

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