CloudLinux is the maker of Imunify360 — a suite of security products protecting millions of websites across the web hosting industry — and of CloudLinux OS , the operating system behind a large share of the world's shared hosting. To learn more about our company and products, visit our websites: cloudlinux.com and imunify360.com . Alongside those established product lines we run a small innovation team whose job is to find and prove the next ones.
We are looking for a Product Owner to lead that team: a small, senior, fully remote squad of engineers that takes new product concepts from idea to a working MVP in customers' hands, then hands proven products to a product line and moves on to the next concept. You will be accountable for the pipeline of ideas, the speed and rigour with which they are tested, and the evidence behind every go / no-go recommendation.
This is a hands-on lead role, not pure people management: roughly 50% discovery and leadership (customer conversations, scoping, prioritisation, coaching, reporting to the CPO) and 50% building (prototypes, spikes, design and code review, demo stands). You will not be the team's only builder, but you must be able to build a credible prototype yourself and hold a technical opinion about every part of it.
You don't need to arrive as an expert in web hosting or security. If you have taken a product from nothing to its first paying customers before — as a founder, an early engineer, or the lead of an incubation team — and you get deep into unfamiliar technical territory fast, we will teach you the market.
What the team works on
The innovation team sits across CloudLinux and Imunify and owns the product concepts that do not yet have a home in an established product line. Ideas come from customer conversations, industry events, telemetry across more than 80,000 servers and the CPO’s strategy; the team’s job is to turn them into something a customer will pay for within a quarter, using AI coding agents throughout.
What you will own
Discovery and delivery
Prototyping and technical direction
People
AI-augmented engineering
We evaluate engineers partly on how effectively they work with coding agents, and in the innovation team this is the main lever on speed. As the lead you model and coach it: prompt specificity, review quality on agent-generated code, context provision, iteration and error recovery, and end-to-end task completion. Expect to use agents to build prototypes, generate test corpora and draft customer-facing material.
First 90 days

About CloudLinux