Nvidia, Google, Box and other tech companies dominate Glassdoor’s 'Best Places to Work'

Glassdoor announced its rankings for 2022.

Employees at work

Glassdoor released its "Best Places to Work" list for 2022.

Photo: Pexels

Glassdoor released its 2022 "Best Places to Work" list on Wednesday. The verdict: Tech companies ruled the rankings. Chip giant Nvidia topped the list, and a total of 40 tech companies ranked in the top 100 best places to work among large U.S. companies. This is up from 28 tech companies in 2021.

Glassdoor compiles its "Best Places to Work" list via its own algorithm, taking into consideration the consistency and quality of employee reviews submitted. As the pandemic wears on, workers report that tech companies continue to excel when it comes to offering flexibility and positive employee experiences, said Glassdoor senior economist Daniel Zhao. A large number of tech companies have continued to allow employees to work from home either full-time or part-time, something Glassdoor heard from employees is a highly valued benefit.

“What we've seen on Glassdoor is that discussions of burnout have more than doubled over the course of the pandemic, and so that priority on employee experience has really shone through,” he told Protocol.

Even though tech companies are leading the list of the best large companies, those on top might not be the companies you expect. Some of the former heavy-hitters have fallen in Glassdoor’s rankings this year. Meta dropped to No. 47, its lowest ranking on the "Best Places to Work" list since first appearing in 2011. The company notably experienced a 600% increase in 1-star reviews over a fourth-month period on Glassdoor in the U.S. last year. Zoom also fell in the rankings this year. The videoconferencing platform is now listed at No. 100 after ranking at 22 last year.

While Zhao said this year was more competitive than ever, it’s also about how employers have responded to the uncertainty of the past year.

“I think this to some extent, it's about how companies actually respond to quick changing times, which especially in today's environment is particularly important,” Zhao said. He offered Nvidia as an example. Though the company is a graphics chipmaker and there has been a global chip shortage, Nvidia has been able to manage the crisis in a way that makes employees feel both satisfied and looped in on the conversation.

“They understand what's going on, and they feel empowered to actually address the problems that the company is facing today,” he said.

Companies like Meta and Zoom have also been bumped down by more unexpected tech-adjacent companies. These are the companies nestled within other industries that have integrated more innovative technology within their work practices. Zhao uses real estate company eXp Realty as an example. The company, which is ranked No. 4 on the list this year, has a fully remote workforce and was an early adopter of the metaverse for the workplace. The company has a virtual platform for employees to interact with each other and was well-positioned for remote work when the pandemic hit.

Overall, the top companies were the ones that proved to employees they could be both nimble and flexible. “That flexibility has been critical during the pandemic, as leaders need to respond to the quick-changing environment that we're in today,” Zhao said.


Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.


Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories