Only 7 Openings Worldwide: Moonshot AI Begins Searching for Its Next Generation of Business Partners

Dropouts, Bankruptcies, Poor Communicators — None of It Matters

👦🏻 Author: zeooo

🥷 Editor: Koji

🧑‍🎨 Layout: NCon

Moonshot AI just officially launched a new round of its global talent recruitment program.

Moonshot AI wants to find 7 "Wild Cards" around the world and groom them as future business partners.

"Wild card" comes from poker — a card that can stand in for any other. Moonshot AI uses it to describe people who can't be defined by any standard job description:

Liberal arts majors who code, geeks who love art, product-minded CEOs who set strategy by day and write code by night, country launchers who open markets from scratch — all of them are within the scope of this search.

Those selected will receive dedicated, abundant compute support, work alongside the founding team, and lock in options at the company's current valuation.

A few ways to read this recruitment program:

Only 7 hires globally — to be groomed as future business partners

The title "future business partner" means Moonshot AI's expectations for these 7 people go beyond the responsibilities of any fixed role. It also means they'll take part in Moonshot AI's "zero to one" business exploration, becoming the next generation of "successors" on the business team.

A model company's product boundaries shift constantly with its technical capabilities. A scenario that's not viable today might open up new product opportunities after the next model iteration.

So these 7 people need to understand both what the model can do and what users actually need — and create exceptional products in between.

That ability directly determines whether a model company can convert technical leadership into lasting advantage.

The window of model capability leadership can be short. But understanding of users, scenarios, and product form can compound into more durable competitiveness.

Dropouts, failed founders, poor communicators — Moonshot AI "doesn't care." In this recruitment program, Moonshot AI directly lists a long series of things it "doesn't care" about:

We don't care if:

You've broken from the traditional path: falling grades, a voluntary leave of absence, or being forced to drop out

You've been seen as a failure: serial entrepreneurship, bankrupt companies, even losing battle after battle

You don't fit in with your peers: unconventional ideas, obsessive focus, bordering on the fanatical

You can't sell yourself in interviews: inarticulate, not sociable, letting only your work speak for you These types of people share one thing in common: they're easily screened out too early by standardized hiring.

Back in May, Moonshot AI president Yutong Zhang spoke about similar hiring criteria in a public conversation at Peking University. Compared to school and major, she cares more about where a person directs their attention, whether they can come up with original ideas, and whether they're willing to try again and again for an idea.

So what Moonshot AI is looking for is precisely the outliers who can't be defined by established standards.

For a model company, whether it can spot such people before the standard answers emerge also determines whether it can see the next opportunity earlier than its rivals!

Because the next opportunity may well appear first outside the standard answers.

This is Moonshot AI business team's "traversal program"! There's another notable change in this round of recruitment:

Moonshot AI has launched a dedicated campus recruiting "traversal program" for its business team. In the past, Moonshot AI's traversal program (where selected candidates receive options during their internship) focused mostly on algorithm roles in campus recruiting. This time, positions have expanded to product, operations, design, sales, marketing, and internationalization — open to all graduates of the classes of 2027 and 2028.

For fresh graduates without an algorithm background, this offers a new career path: join a model company, turn technical capability into products users actually use, ride through cycles with the company, and share in the rewards.

Similar stories are not uncommon in the early days of tech companies.

In 1980, 24-year-old Steve Ballmer dropped out of Stanford University's business school to join Microsoft, then a company of about 30 people, as its first business manager. He later ran sales, operations, and multiple other departments, and eventually became Microsoft's CEO.

In 1999, 22-year-old biology graduate Salar Kamangar joined the newly founded Google as its 9th employee. He wrote Google's first business plan, helped build AdWords, and later became CEO of YouTube.

When they joined, neither had a fully formed business role waiting for them. Later, some of these companies' most important products and business paths were defined in part by them.

How to apply? Wild Card

Traversal Program Campus Recruiting & Internships

Applications for the above positions are now open. Refer to Moonshot AI's official recruiting page for specific roles and application requirements.

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