Workplace

How 'Dan from HR' became TikTok’s favorite career coach

You can get a lot of advice about corporate America on TikTok. ‘Dan from HR’ wants to make sure you’re getting the right instruction.

Dan Space

'Dan from HR' has posted hundreds of videos on his TikTok account about everything from cover letters to compensation.

Image: Dan Space

Daniel Space downloaded TikTok for the same reason most of us did. He was bored.

At the beginning of the COVID-19 pandemic, Space wanted to connect with his younger cousin, who uses TikTok, so he thought he’d get on the platform and try it out (although he refused to do any of the dances). Eventually, the algorithm figured out that Space is a longtime HR professional and fed him a post with resume tips — the only issue was that the advice was “really horrible,” he said.

“It was essentially an urban myth advice that actually damages candidates’ chances,” he told Protocol. So he responded to the video and debunked it. “I never want to hurt people’s feelings, but my thought is ‘You can’t give bad information,’” he said.

Time and time again, Space started to see users with little to no HR experience give their followers bad career tips, and he felt he was in a good position to set the record straight. The former Spotify and Electronic Arts leader started posting about LinkedIn job postings, lesser-known career paths and other job market tips.

Close to two years later, Space has posted hundreds of videos on his TikTok account, “Dan from HR,” about everything from cover letters to compensation, and he’s amassed close to 100,000 followers along the way. His platform has unintentionally turned into a whole side gig; in addition to career consulting, Space is now a career coach for people who reached out via TikTok, and he eventually wants to start a separate account to help college students with their first careers.

Maybe without even realizing it, Space joined a small group of users who wouldn’t necessarily call themselves “influencers,” but are on the platform to give people tips and advice on the working world based on their experience. There’s Erin McGoff, a film director and video editor who helps people level up their resumes, as well as former tech exec Cathryn Patterson. These creators aren’t on TikTok to crack jokes about the corporate world like Rod or Corporate Natalie; they joined the platform to help young users, specifically, get the best job counsel.



For Space to meet that goal, he walks a fine line between telling users not to listen to creators with no past HR experience and trying not to hurt those creators’ feelings. At one point, he needed to tell his followers to stop tagging him in videos that included potentially poor career tips because he didn’t want to upset the person behind the post. Another time, a user told Space they would never post a TikTok again because he pointed out that the user wasn’t offering good guidance.

“I always try to be very careful that it's never the person [I’m] attacking, it's the advice,” Space said. “My driving force is I don’t want people to have this bad information.”

Space said he most frequently sees poor tips about interview questions and compensation on TikTok. For example, some users would tell their followers to be aggressive with salary negotiations, but Space said the key to negotiation is to make a business case for why someone should be paid more money. “Everyone says, ‘Use Glassdoor so you have market research,' but that’s bullshit because every company pays differently, and [companies] protect that information so you can’t really get market research.”

The TikToker said he’s also learned to stay away from some topics, notably unions, either because they’re too complex or will get an overwhelmingly negative response. He’s talked about his thoughts on unions before (and the backlash he’s received), but he’s realized that the issue is tricky to navigate on TikTok because people have already developed strong opinions on it based on companies that have exploited pay or work practices. In reality, there’s more complexity to unions because “every company is different and every industry is different and every HR team is different,” he said.

On the other hand, Space talks often about gender disparities and racism in the corporate world. While working in HR, Space said he began to notice a sharp increase in the number of white males making their way to senior roles and wanted to address the issue to his followers. “That became really important for me to talk about. As a white male, I have that privilege to talk about that and to utilize my platform to drive that focus, especially as it relates to pay transparency.”

The HR professional’s TikTok has become more of a community than he expected. Space said his platform became a safe haven while he was caring for his mom last year. After she passed away, he posted a photo montage, and condolences poured in, even from followers who seldom interact with his posts. “So many people tracked down my personal information by going on LinkedIn and sent me personal emails … that was so touching.”

Fintech

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
FTA
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.
Enterprise

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.

Enterprise

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 RedTailMedia.org 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
Bulletins