Kube Careers posts $175K–$490K roles

- Kube Careers highlighted live tech job posts from Built Technologies, Peregrine, and OpenAI, with OpenAI listings showing some of the biggest published ranges. - The clearest verified figures are Built’s Staff DevOps Engineer at $175,000-$235,000 and Peregrine infrastructure roles up to $250,000, while OpenAI says pay also includes equity and bonus. - It matters because salary transparency is making frontier-AI pay visible — and showing how far top-tier compensation now sits above ordinary software roles.

Tech hiring is still weirdly opaque, which is why public salary bands get so much attention. Most companies tell you the range only because state laws force them to. But once those numbers are out in the open, you get a rare clean look at what different parts of the market think talent is worth. That’s what made this Kube Careers thread travel — it put ordinary infrastructure roles and frontier-AI roles in the same frame. ### What actually got posted? The thread pulled together current job listings from three companies: Built Technologies, Peregrine Technologies, and OpenAI. These were not leaked comp spreadsheets or anonymous forum claims. They were public job ads — mostly on Greenhouse and Ashby — with salary disclosures attached. That matters because posted ranges are the closest thing to an official market signal short of an offer letter. ### What do the Built numbers say? (job-boards.greenhouse.io) Built’s clearest match is a Staff DevOps Engineer listing with a posted salary range of $175,000 to $235,000. The role is senior and platform-heavy — setting technical direction for cloud infrastructure, defining standards for other teams, and driving the roadmap for the company’s internal platform. In other words, this is not a generic “keep the servers on” job. It is the top end of infrastructure IC work at a mid-sized fintech. ### What about Peregrine? Peregrine’s public listings show a similar but slightly wider upper band for senior engineering. A Senior Infrastructure Engineer role is posted at $170,000 to $250,000, and several other senior software roles also stretch to $250,000. The company is hiring for high-stakes data and infrastructure work tied to public safety, government, and other mission-critical customers, which helps explain why the ceiling is high even outside the frontier-AI bubble. (job-boards.greenhouse.io) ### So where does OpenAI stand out? OpenAI stands out because its public postings pair already-high salary bands with explicit notes that total compensation also includes equity and performance bonuses. Multiple engineering and data roles say exactly that. The Kube Careers thread pointed to total comp figures as high as $364,000 to $490,000, and while the scraped Ashby previews we can verify here don’t always expose the numeric band in the snippet, they do confirm the structure: base pay plus generous equity plus bonus. That is the key distinction. (job-boards.greenhouse.io) A $200,000-ish base at OpenAI is not the whole package. ### Why is that a big deal? Because most people still compare tech jobs by base salary, and that misses the point at the top end. Frontier labs are competing for a tiny pool of engineers and researchers who can work on model evals, deployment systems, data pipelines, and large-scale compute. OpenAI’s listings span exactly those areas — developer productivity, continuous deployment across Kubernetes clusters, data engineering, and finance-linked evals and compute strategy. The company is paying for leverage, not just headcount. (jobs.ashbyhq.com) ### Why are these numbers public now? Basically — salary transparency laws. Companies hiring in places like California and New York increasingly have to publish pay ranges in job ads. That doesn’t make the ranges perfect. They can still be broad, and they don’t lock in the final offer. But it does mean outsiders can compare firms in a way that was much harder a few years ago. ### What’s the catch with posted ranges? A posted range is not a promise that every hire lands at the top. (jobs.ashbyhq.com) Companies usually say pay depends on location, skills, and experience. OpenAI’s listings also make clear that compensation can change with performance, team results, or market conditions. So the thread is best read as a map of ceilings and structure — not a guarantee of what any one person will get. ### Bottom line The interesting part is not just that OpenAI pays a lot. (job-boards.greenhouse.io) Everyone already suspected that. The interesting part is that public job ads now show the spread in plain sight — roughly mid-$100Ks for strong senior infrastructure jobs, up to $250,000 for mission-heavy software roles, and much higher all-in packages once frontier-AI equity and bonus enter the picture. (jobs.ashbyhq.com)

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