OpenAI just posted what might be the strangest job listing in tech: they’re looking for 15 people to join their Grove program, and the main qualification is not having your life figured out yet. No startup idea required. No previous company necessary. Not even a concrete plan. In fact, if you show up with a fully-baked business model, you might be overthinking it.
This is OpenAI’s second run of Grove, a five-week program that sits in an awkward space most accelerators avoid—the murky territory before you even know what problem you want to solve. Y Combinator wants traction. TechStars wants a product. Grove wants curiosity and a willingness to show up in San Francisco with a notebook.
The Anti-Accelerator Accelerator
Here’s what makes Grove different from the startup factory model: it’s not trying to speed-run you to Series A. The program runs January 22nd through February 27th, 2026, with two mandatory in-person weeks bookending three weeks of asynchronous work. OpenAI covers travel costs, hands you $50,000 in API credits, and gives you access to tools and models before they hit general release.
Think of it less like an accelerator and more like a really expensive writer’s residency—except instead of producing a novel, you’re supposed to figure out what novel you want to write. The first and last weeks happen at OpenAI’s San Francisco headquarters with workshops, office hours, and direct mentorship from their technical team. The middle weeks require 4-6 hours of your time, working through whatever’s starting to crystallize.
The first cohort ran from October 20th to November 21st, 2025, with about 15 participants. OpenAI hasn’t disclosed what those founders are building now, but the fact they’re running it back suggests something worked.
What You Actually Get
Beyond the API credits (which, let’s be honest, is basically Monopoly money if you don’t know what to build), Grove offers three things most programs can’t: early access, informed skepticism, and permission to not know.
Early access means playing with OpenAI’s unreleased models before the rest of the world sees them. That’s valuable—not because you can flex on Twitter, but because you might spot an application before the market gets crowded. Remember when GPT-3 first dropped and people were still figuring out that you could build entire products on top of language models? Being six months early to that party mattered.
The mentorship piece is where it gets interesting. OpenAI’s technical leaders aren’t going to teach you growth hacking or help you nail your pitch deck. They’re the people who actually built the models you’ll be working with. They know what GPT-5 (or whatever they’re calling it internally) can and can’t do before you waste three weeks building something that hits a fundamental limitation.
But the real unlock might be the talent network. Put 15 technically-minded people in a room who all admit they don’t have it figured out, and apparently interesting things happen. It’s harder to bullshit when everyone else is also staring at a blank page.
Who This Is Actually For
OpenAI says they want people “from all backgrounds, disciplines, and experience levels.” In startup land, that usually means “we want diversity but will still fund Stanford CS grads.” Grove at least seems to mean it—the application doesn’t ask for your resume or pitch deck because those things would miss the point.
The real filter is this: you need to be technical enough to co-build with researchers, but early enough in your journey that five weeks of structured exploration could actually redirect your trajectory. If you’re already raising a seed round, this probably isn’t for you. If you’ve been tinkering with AI on weekends and keep thinking “there’s something here but I can’t quite see it,” that’s the target.
Teams can apply together, which is smart. The “solo founder searching for conviction” story is romantic, but most good companies start with two people who’ve been arguing about an idea for months.
The Bet OpenAI Is Making
Here’s what keeps me curious about programs like this: OpenAI doesn’t need to run a mentorship cohort for pre-idea founders. They could just keep selling API access to the thousands of startups already building on their platform. Running Grove costs real resources—researcher time, office space, attention from leadership.
So why do it? One possibility is talent scouting. Find the most interesting people early, give them superpowers, and see what they build. Some of those companies will become major customers. A few might get acquired. At least one might turn into something that makes OpenAI look prescient.
The other possibility is more interesting: maybe OpenAI genuinely believes the best applications of their technology haven’t been imagined yet, and the people most likely to imagine them aren’t the ones already grinding in startup land. Maybe the person who figures out the actually transformative use of GPT-5 is currently a grad student, a product manager at a boring company, or someone who quit their job six months ago and has been reading everything they can find about AI.
Applications close January 12th, 2026. The question isn’t whether you’re qualified—it’s whether you’re curious enough to admit you’re not sure what you’re doing yet. Apparently, that might be exactly what OpenAI is looking for.
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