Sherif Mansour has spent 17 years at Atlassian and now runs AI across their entire product portfolio, including 20+ apps and Rovo, their AI platform used by over 5 million people every month. At SaaStr Annual, he shared the three biggest tensions his teams have wrestled with building AI into some of the most widely used SaaS products in the world, and why the answer to each one is almost never either/or.
First: chat vs. dedicated UI. Atlassian built chat into every app not because they thought it was the end state, but because it became their best product discovery tool. Like the command line before Windows, chat is the universal interface. The patterns customers typed in chat told them exactly what features to build next.
Second: reimagine vs. bolt on. The conventional wisdom says don't bolt AI onto existing workflows. Atlassian did exactly that, and it worked. They also landed on a principle that now applies across their entire portfolio: anything a human can do in your product, an agent should be able to do too.
Third: the 10X AI builder myth. Atlassian ran experiments trying to make everyone an AI builder. What they found: everyone was rowing, no one was steering. They've since flipped their hiring pyramid, bringing in more juniors and seniors and fewer people in the middle, and their data shows juniors are nearly 2x more likely to experiment with AI tools than their senior counterparts.
This one is packed with real examples, real data, and real lessons from shipping at scale.
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