Salesforce layoffs surface on LinkedIn: US cloud software giant announces job cuts. From marketing to data analytics, full list of worst-hit departments


In addition to the layoffs, Salesforce has made significant changes in its executive team. Six new executives have been appointed to replace five who have left since December. This restructuring aligns with comments from CEO Marc Benioff, who previously stated that the company has leveraged AI to reduce its support staff from 9,000 to approximately 5,000 employees.
The company has not publicly disclosed the layoffs. The start of 2026 has seen several US tech firms, including Amazon, which announced it was cutting 16,000 roles worldwide in January amid increased adoption of AI tools. Salesforce is scheduled to report its Q4 results on February 25.
Salesforce has appointed new leaders in an executive shake-up. Six new hires and promoted executives will lead businesses like Agentforce and Slack. The executives replace five high-profile leaders who have announced departures since December, the report stated.
“Salesforce has always been a talent engine,” a Salesforce spokesperson said in a statement. “Our deep bench and proactive succession planning ensure that our strategy is institutionalized, not individualized. We’re confident in the leaders stepping into these roles and are excited for what’s ahead in FY27.”
In September 2025, Salesforce, cut 4,000 customer support jobs, leaning more heavily on AI to handle tasks that were once managed by people. CEO Marc Benioff confirmed the move on the Logan Bartlett Podcast, revealing that the support team had been reduced from 9,000 to 5,000 employees. “I was able to rebalance my headcount on my support. I reduced it from 9,000 heads to about 5,000 because I needed fewer heads,” Benioff said. In effect, nearly half of Salesforce’s support division has been downsized.
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Salesforce has pulled back from its heavy reliance on large language models after encountering reliability issues that have shaken executive confidence. Sanjna Parulekar, Senior Vice President of Product Marketing, acknowledged that trust in AI models has declined over the past year, according to a report by The Information.
“All of us were more confident about large language models a year ago,” Parulekar stated, revealing the company’s strategic shift away from generative AI toward more predictable “deterministic” automation in its flagship product, Agentforce.