She built recruiting software for the people who clock in by the hour - and got Cava, Panera and Chick-fil-A to pay attention.
FOUNDER & CEO, LANDED / NEW YORK, NY
Vivian Wang runs a company that texts back. While the rest of tech raced to build software for knowledge workers with laptops, she pointed her camera at the line cook, the cashier and the shift manager - and built LANDED, a generative-AI hiring platform for the 2.7 billion people who work by the hour.
The premise is almost rude in its simplicity. Hiring an hourly worker should not require a recruiter, a spreadsheet, and three weeks of phone tag. So LANDED posts a single job across more than 80 job boards and social platforms, sources candidates with AI, screens them by text message, books the interviews, and hands the manager a shortlist. The company's four-word manifesto: "Make hires, not fires."
It worked. By 2025 LANDED counted more than 500 business customers, a database north of 3.2 million candidates, and over 6.3 million job matches facilitated. The roster reads like a food court at rush hour - Cava, Blaze Pizza, Panera, Chick-fil-A, Taco Bell. The category - high-volume hourly hiring - was unglamorous enough that almost nobody good was building for it. Wang did, and kept building when the easy money went elsewhere.
She is, by the measures the industry uses, a success: a Forbes 30 Under 30 honoree in Enterprise Technology, a founder who raised roughly $8.7 million, a CEO whose company landed at #960 on the 2025 Inc. 5000 and earned a mention in Gartner's 2024 Hype Cycle. But the more interesting fact is the one underneath: she chose the customer everyone else skipped.
Her own framing is operational, not grand. "Your GM is THE MOST valuable person inside your four walls," she has written - the argument being that a general manager should be leading the floor, not buried in recruiting admin. Take the hiring off their desk, and you get back the person the restaurant actually needs.
Start with the swerve. At Princeton, between 2011 and 2015, Wang wrote a senior thesis with a title built for a policy seminar: "Chinese Foreign Direct Investment and the European Economic Crisis." It is exactly the resume you would expect to lead toward a desk in finance or consulting, somewhere with a view and a dress code.
Instead, in late 2019, she went the other direction entirely - toward the back of house. She had identified three problems that nobody had stitched together: restaurants and hospitality groups could not hire or keep talent, the workers themselves struggled to find jobs that fit, and there was no real tooling built for either side of that exchange.
The timing looked like a curse and turned out to be a forge. LANDED launched its employer and jobs apps in 2020 - on iOS and Google Play - just as the pandemic detonated the labor market and sent a surge of hourly job seekers online. A niche idea became urgent infrastructure overnight.
By 2021 the platform had reached more than 100,000 blue-collar workers and hundreds of employers, and the checks followed: a Series Seed led into the company by Javelin Venture Partners and Blockchain Capital. Jed Katz of Javelin described her in plain terms - "a relentless founder solving this monster challenge."
A single opening goes out across 80+ job boards and social platforms, then generative AI pulls candidates from diverse pipelines - no manual reposting, no copy-paste.
Automated, multi-lingual SMS keeps candidates warm in real time, cutting the silence and no-shows that sink high-volume hiring.
Tailored criteria and AI-driven vetting filter for fit, so managers see a shortlist instead of an inbox - then scheduling is automated, too.
Talk to most founders about their total addressable market and you get a chart. Wang's number is a population. There are roughly 2.7 billion hourly workers on the planet, and LANDED's stated reason for existing is to serve them - not only with a faster path to a job, but, in the company's framing, with tools for employment, financial health and educational growth. The hiring platform is the front door. The ambition behind it is bigger than recruiting.
That orientation matters because the hourly worker has long been treated as a cost line rather than a customer. The software industry built calendars, dashboards and chat tools for salaried desk jobs, then largely walked past the 60-plus percent of the workforce that does not sit at one. The result was a hiring experience defined by ghosting in both directions - employers who never called back, applicants who never showed up.
LANDED's design choices read as direct answers to that dysfunction. Text-message engagement, because the hourly candidate lives on a phone, not an inbox. Multi-lingual support, because the workforce is. Real-time messaging and automated scheduling, because a delay of even a day in this market means the candidate has already taken another shift somewhere else. Each feature is less a flourish than a patch on a specific, well-known failure.
It is also a category that rewards endurance over flash. High-volume hiring is repetitive, seasonal and unglamorous - the kind of problem that does not photograph well at a demo day. Wang's edge has been a willingness to stay in it: to treat candidate no-shows, re-engagement and pipeline prediction as worthy engineering problems rather than someone else's chores.
"Make hires, not fires."
If there is a single idea that animates Wang's public thinking, it is this: the general manager is the most valuable person inside a restaurant's four walls, and most of them spend too much of the day doing work a machine could do. Screening applications. Chasing references. Rescheduling interviews around the dinner rush. None of it is leadership. All of it eats the hours a GM should spend on the floor, with the team and the guests.
LANDED's bet is that you fix retention by fixing the manager's calendar first. Automate the recruiting admin, and the GM gets back to the part of the job that actually keeps people - coaching, presence, the small daily acts that make a shift somewhere worth staying. The hiring tool, in that telling, is really a leadership tool wearing a recruiter's badge.
It is a notably operator-minded way to pitch software. Wang does not talk much about disruption. She talks about labor pressure, consumer spending, and the math of a business that runs on thin margins and thinner schedules. Her content tends to sit at that intersection - what it costs to staff a dining room when wages are up and customers are cautious - which is the language her buyers actually speak.
That fluency is part of the story of how a Princeton graduate with a thesis on foreign direct investment ended up understood by people who run kitchens. She learned the customer's problem well enough to describe it back to them better than they could. In a category full of generic applicant-tracking systems, specificity has been the moat.
Graduates from Princeton University, leaving behind a thesis on Chinese foreign investment.
Founds LANDED to fix hiring and retention for hourly restaurant and hospitality workers.
Launches employer and jobs apps on iOS and Google Play as the pandemic reshapes hourly work.
Reaches 100K+ workers and hundreds of employers; raises Series Seed from Javelin Venture Partners and Blockchain Capital.
LANDED named a Startup Alley Winner.
Featured in Gartner's Hype Cycle for High-Volume Hiring and Generative AI.
Ranks #960 on the Inc. 5000 with 500+ customers and 6.3M+ job matches.
Relative scale, LANDED cumulative figures as reported in 2025.
Named to the Enterprise Technology list - the kind of badge that tends to follow founders who pick boring problems and solve them anyway.
Backed by Javelin Venture Partners and Blockchain Capital, with a seed round powering the build-out of an AI-first hiring stack.
Featured in Gartner's 2024 Hype Cycle for High-Volume Hiring and Generative AI; ranked #960 on the 2025 Inc. 5000.
Volunteered with the Junior League of San Francisco and Minds Matter San Francisco, mentoring students - a through-line to a company built around opportunity.
01The company name is a quiet double meaning: the candidate who lands the job, and the place good hires finally come down to earth.
02Her senior thesis studied Chinese capital flows during a European crisis - about as far from a fryer station as a Princeton library gets.
03LANDED's apps shipped in 2020, right as the pandemic turned hourly hiring into a five-alarm fire. The timing made the bet.
04The whole pitch fits on a sticky note: make hires, not fires. Find the right people; stop losing them.
05An investor's verdict on Wang: "a relentless founder solving this monster challenge." The monster being turnover itself.
06She measures the win in shifts filled, not seats funded - software for the counter, not the corner office.
Six years in, the shape of the company is the shape of the founder. LANDED did not chase a hype cycle; it ended up in one, named in Gartner's 2024 report on high-volume hiring and generative AI because the work had quietly compounded into something the analysts could no longer ignore. The Inc. 5000 placement in 2025 - #960 - is the kind of milestone that comes from years of unsexy revenue, not a single viral quarter.
Wang's path has a tidy symmetry to it. She started by studying how capital moves across borders and ended up studying how labor moves across a city - who gets the shift, who gets ghosted, who finally lands the job. The volunteer years mentoring students in San Francisco, the academic interest in economies under strain, the company built to put underserved workers to work: read together, they look less like a pivot and more like a consistent interest in who gets access and who does not.
What makes her worth watching is not the funding total or the logo wall, impressive as both are. It is the discipline of staying with a customer that the rest of the industry found beneath it. The line cook and the cashier did not get great software because they were a hard market. Wang treated them as the point, not the afterthought - and built a business on the difference.