Julie Tscheuschner
OpenAI
“Recruiting is a lot of building companies.”
Julie Tscheuschner has been named to the Talent 100, Class of 2026, the annual award recognizing the 100 most exceptional leaders and practitioners in talent acquisition. Honorees are selected by the Talent 100 committee from thousands of nominations and candidates across the industry, chosen for the impact of their work, the depth of their craft, and their influence on the future of recruiting. This is Julie's story.
Count the headcount, and the arc of Julie Tscheuschner's career reads like a map of the past decade in technology. Uber, which she helped scale from roughly 2,000 people to 30,000. DoorDash, which she joined at the start of the pandemic, as delivery demand went vertical, and helped grow to about 25,000. And now OpenAI, which she joined at a little under 4,000 and which she expects will be closer to 9,000 by the end of the year. Three hypergrowth curves, one common thread: a talent leader who treats hiring not as a service function but as the act of building the company itself.
The Job That Recruited Her
The origin story has a nice symmetry to it. Fresh out of college, Tscheuschner walked into a staffing agency looking for a job. The agency looked back at her and decided she should be a recruiter. She stayed about five years, learning the mechanics of the trade at speed, and along the way noticed a pattern in what actually made the work satisfying. It was not the volume of placements. It was the specific alchemy of putting a favorite candidate inside a favorite client.
That observation was the signal to go in-house. She targeted deliberately, and landed at Uber during its most explosive stretch of growth. What she found there reframed the job entirely. Until that point she had understood hiring and placements. At Uber she learned scaling, and she learned that the two are not the same discipline. "Recruiting is a lot of building companies," she says, and once that clicked, hypergrowth became her territory. She has spent roughly a decade there since, moving from Uber to DoorDash to OpenAI, each time arriving in advance of a curve rather than after it.
The CEO Who Made Hiring Everyone's Job
Ask Tscheuschner who shaped her most and she names someone she rarely worked with day to day: Tony, DoorDash's chief executive. The lesson he taught her is one she now considers structural rather than sentimental. A recruiting organization can be obsessed with the mission, obsessed with the product, obsessed with objective and streamlined hiring processes, and still be an afterthought if leadership does not genuinely value the function.
Tony did not leave that to chance. He made recruiting an operating principle of the company and wrote it into promotion criteria. He would examine a leader's hiring track record, and if it showed defects, long cycle times, or a weakness in the basic mechanics that recruiting teams everywhere spend their lives trying to instill, the message was direct: go work on that for six months, get better at recruiting, and then we will consider your promotion.
The effect on Tscheuschner's daily life was immediate and permanent. She spent far less time fighting for calendar time or chasing buy-in, because caring about hiring was already part of the company's ethos. The engine simply ran smoother. It is a lesson she carries into every organization she joins: tone at the top is not a soft variable in talent acquisition. It is the operating condition that determines whether everything else is possible.
The End of the Fifty-Seven Clicks
On the industry's AI moment, Tscheuschner offers two answers, one bottom up and one top down. From the ground floor, she sees more genuine innovation than at any point in her career, and she attributes it to the collapse of a bottleneck. For years, recruiters were effectively handcuffed, waiting for a tool to clear procurement or for a two million dollar proposal to be approved before they could optimize anything. Now individual contributors can build for themselves, unbound by system, tech, or process constraints. The tradeoff, she notes, is that the same thing often gets built five times in five silos, which makes it leadership's job to connect the dots and turn scattered experiments into one superior tool.
The bigger prize is the reclamation of a recruiter's day. Her descriptions of the administrative drag are precise: the fifty-seven clicks to push an offer through, the twenty-two fields to fill in before it can be approved, the two or three days spent hunting down a hiring panel to assemble a packet. These are the tasks that quietly cap output. AI is now sweeping Slack channels and assembling the packet, compressing turnaround times so that, as she puts it, recruiters can get back to doing more recruiting.
That, in turn, unlocks what she is genuinely excited about. There has always been good intention around recruiters becoming true talent advisors, and always too much admin standing in the way. Now the work that used to consume a sourcer for a week, mapping competitive compensation across a hot go-to-market market, can run in about an hour. A recruiter can walk into an intake meeting able to say that three competitors have posted the same role at forty thousand dollars higher, and here is what we are up against. Work that took weeks or months now takes minutes or hours. Tscheuschner calls the resulting shift in service level magical, and she means it as a description of capability, not marketing.
Ship at Eighty Percent
Her first piece of advice to other talent leaders is a bias toward motion. Ship at eighty percent, not one hundred. In a market moving this fast, waiting for perfection means missing the boat every single time. Her biggest pockets of impact, she says, have come from launching something incomplete, tolerating failure in the twenty percent that was not right, iterating fast, and then shipping the 2.0, the 3.0, and the 4.0.
The compounding benefit is not only speed of results but credibility. Speed to action builds street cred with the business and generates rapport in a way the flawless product delivered four months later never does. It is the operating philosophy of someone who has spent a decade inside organizations where the hiring plan is the growth plan, and where being four months late is not a rounding error.
Choosing Balance Every Day
Her second piece of advice is quieter and, coming from someone with her track record, more striking. Choose balance every day, because you will burn out if you do not. Talent leaders, she points out, sit on the front lines of enormous business pressure. If those five hundred salespeople do not get hired this quarter, revenue is on the line, and that pressure translates into long weeks, long days, and long quarters. She has watched good people burn out on exactly that treadmill.
Her prescription is deliberately unglamorous. Balance is not a sabbatical, it is a habit made of small permissions: being five minutes late to a meeting, walking around the block, protecting the margins of a day that will otherwise consume all of them. Colleagues have described her as an empath, and the advice reflects it. In a discipline defined by urgency, Tscheuschner's most durable insight may be that the people building the company also have to be built to last.
The Talent 100 exists to celebrate the people shaping the future of how the world hires, and few embody that better than Julie. We are honored to welcome Julie Tscheuschner to the Talent 100, Class of 2026, and grateful for the experience, perspective, and craft they bring to this community. Congratulations, Julie. Welcome to the Talent 100.
About the Talent 100
The Talent 100 is an annual list spotlighting the leaders who push HR and talent acquisition forward, organized by Noon AI. Honorees are selected through peer nominations and independent selection committees. Selection is entirely merit-based, with no fees or pay-to-play requirements.





