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Internal Meta memo tells managers how performance-based job cuts will work

Meta CEO Mark Zuckerberg
Meta CEO Mark Zuckerberg Chris Unger/Zuffa LLC via Getty Images
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A memo from one of Meta's human-resources executives explained to managers on Tuesday how the company's performance-based job cuts would work in the coming weeks.

Hillary Champion, Meta's director of people development growth programs, instructed managers to categorize employees into performance tiers based on their contributions over the past year, according to the memo, a copy of which was obtained by Business Insider.

Champion wrote in the memo that Meta aimed to reach 10% "non-regrettable attrition" by the end of this performance cycle, combining last year's 5% with an additional 5% this year. These are employees that the company wouldn't consider a loss if they left.

She signaled that Meta was ramping up pressure on underperformers and trying to more quickly decide who stays and who goes.

"We have really ambitious goals, so we need to manage our workforce in a way that ensures we have the strongest talent working here and can move faster in managing out low performers so that we can bring new people in," Champion said.

Her guidance for managers came shortly after Meta told employees it was preparing to cut about 5% of its lowest-performing staffers as part of an effort to "raise the bar." Meta said it intended to backfill these roles in 2025.

Meta's performance ratings, and who will be cut

BI also obtained a copy of Meta's internal performance guidance on Tuesday. This document describes several categories, one of which is "met most expectations." Other ratings include "met some" and "did not meet."

"Anyone who receives a rating of 'Met Some' or 'Did Not Meet' will be automatically added to the performance termination list," Champion told Meta managers.

"The number of people in the 'Met Most' category to be terminated will vary," she added.

This depends partly on whether Meta's target of 10% non-regrettable attrition is met. Champion shared a theoretical example: If a team had 5% non-regrettable attrition in 2024 and then put 3% of employees in the "met some" rating, an extra 2% of workers from the "met most" group would need to be cut to hit the 10% total.

The coming job cuts are part of a broader strategy to reshape Meta's workforce and become more efficient amid huge investments in AI, virtual reality, and the future of social media.

Last week the company rolled back diversity, equity, and inclusion initiatives and disbanded its third-party fact-checking program.

Here's the memo from Champion:

Manager Update for the Performance@ Process
Following up on Mark's announcement today, I want to share some details about the role you will need to play through this performance cycle, and offer some guidance on how to lead through this.
What's Happening
  • We have really ambitious goals, so we need to manage our workforce in a way that ensures we have the strongest talent working here and can move faster in managing out low performers so that we can bring new people in. As a result, we are exiting approximately 5% of our lowest performers.
  • Calibrations continue to be our process for differentiating performance, recognizing impact, and making promotion decisions. In addition to the process overview shared in December, we will be using the calibration window to identify the lowest performers for performance termination.
  • Company-wide, we expect to reach 10% non-regrettable attrition by the end of this Performance cycle, inclusive of ~5% non-regrettable attrition from 2024. This means we are aiming to exit approximately another 5% of our current employees who have been with the company long enough to receive a performance rating. The exact percentage will vary by org depending on their non-regrettable attrition in 2024.
  • Those who are terminated for performance will receive generous severance packages, in line with previous cuts.
  • Org leaders will share more on the the specific backfill process for your Org.
How Performance Calibrations will Work
Below is a topline view of what to expect. HRBPs will guide teams through this and provide more details during calibrations.
- This will be a normal calibration process and we will use the time to identify our strongest performers in addition to our lowest. We will discuss all ratings, flags, edge cases and promotions as usual.
  • Consistent with our distribution guidance, teams will need to identify 12-15% of employees who are eligible to receive a performance rating as Met Most and Below ("MMB"). This includes any 2024 non-regrettable attrition, which will be visible in the performance tool and shared with team leaders during calibrations.
    • Example: If your org's 2024 NR attrition was 5%, then your team will need to identify 7-10% to receive MMB ratings in order to meet the 12-15% total.
  • As you go through calibrations, your HRBP will also help you differentiate performance by utilizing the Met Some rating more than we have in the past.
  • Anyone who receives a rating of "Met Some" or "Did Not Meet" will be automatically added to the performance termination list.
  • Later in the calibration process, your Director and VP will review those with a "Met Most" rating to determine who will be terminated to meet the required 10% target. The number of people in the "Met Most" category to be terminated will vary, depending on your org's 2024 non-regrettable attrition rate and how many people are rated "Met Some" or "Did Not Meet"
    • Example: If your org had 5% non-regrettable attrition in 2024, and through calibrations put 3% in the "Met Some" rating, Directors and above will need to select an additional 2% from the "Met Most" group in order to reach the 10% total.
  • You should use the flag and notes features within the performance tool to make any recommendations about whether someone with a "Met Most" rating should be included in the performance terminations or not.

Do you work at Meta? Contact BI reporters from a nonwork email and device at jmann@jkmperu.com and pdixit@jkmperu.com.

You can also reach them via Signal at jyotimann.11 and +1408-905-9124.

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Jyoti Mann
Jyoti Mann
Jyoti Mann is a former senior reporter for BI who covered tech companies, including OpenAI, Meta, Amazon, and Microsoft.Jyoti holds a master's degree in investigative journalism and was previously reporting on the companies desk at the Financial Times. She spent more than three years working as a hedge fund consultant carrying out investigative research. She has previously written for the Financial Times and The Times. Sample of stories: Amazon's full RTO is off to a bumpy start. Some staff complain of a lack of space and theft. And they're still on video chats.Internal Meta memo tells managers how performance-based job cuts will workStripe accidentally sent an image of a duck when notifying some employees they were getting laid offKlarna tells employees it will start drug testing workers in Sweden
Pranav Dixit
Pranav Dixit
Pranav Dixit is the Meta Correspondent at Business Insider based in the San Francisco Bay Area. He writes about Meta’s products, policies, and internal workings while examining how the company’s decisions shape how billions of people connect and communicate.Previously, Pranav was the India-based technology correspondent for BuzzFeed News, covering the impact of Silicon Valley’s largest companies on the culture, society, and politics of more than a billion people in South Asia. He has also been a senior news editor at Engadget and ran technology coverage at the Hindustan Times, one of India’s largest national newspapers.Pranav’s reporting has shed light on the human consequences of Big Tech’s quest for growth in emerging markets, and sparked widespread conversations about the impact of American technology companies on the Global South. In 2019, he won Syracuse University’s Mirror Award for a boots-on-the-ground feature about how WhatsApp misinformation sparked gruesome lynchings in rural India. He has also reported from Kashmir, a volatile geopolitical hotspot, documenting the world’s longest-running internet shutdown.His work has been widely cited by major national and international publications, and he has been featured on the BBC, Al Jazeera, and podcasts such as Vox Media’s Land of the Giants to discuss his work. He has also spoken in journalism classes including at UC Berkeley’s graduate journalism program. His writing has appeared in The Guardian, Vox, Time, The Information, and Al Jazeera.Pranav moved to the United States in 2021 from New Delhi, India, to be a fellow at Harvard University’s Nieman Foundation for Journalism, where he studied the evolution of the American tech press and ways newsrooms around the world can cover technology and society more effectively.Got a tip about Meta or anything else in Silicon Valley? Contact Pranav via encrypted messaging app Signal (+1408-905-9124), or email him at pdixit@insider.com or pranavdixit@protonmail.com. You can also reach him on WhatsApp at +857-753-3949 or DM him on X (@PranavDixit) or BlueSky (@pranavdixit.bsky.social).Pranav keeps sources anonymous. Please use a non-work device to reach out.Expertise: Meta, Facebook, WhatsApp, Llama, AI, Threads, Instagram, Mark Zuckerberg, social media, platforms, immigration