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Soar
Soar is a Saudi fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.
The Mission:
Real estate is one of the largest, slowest-to-change markets on earth — trillions of dollars in transactions still run on fragmented data, manual workflows, and software that automates paperwork instead of doing the work. We believe that era is over.
At Soar, we are building an agentic-first platform: products where AI agents don't just assist people, they do the work — sourcing, analyzing, negotiating, coordinating, and closing — with humans setting direction and judgment. We are looking for a Chief Product Officer to define what that product is, build it from zero, and use it to fundamentally reinvent how real estate works.
This is not a role for someone who wants to optimize an existing roadmap. It is for a builder who wants to create a category. What "agentic-first" means hereMost companies are bolting a chatbot onto legacy software. We are doing the opposite: designing the product around autonomous and semi-autonomous agents as the primary way work gets done, with interfaces, data, and trust models built to match.
As CPO, you will own this thesis end to end.
What "agentic-first" means here:
Most companies are bolting a chatbot onto legacy software. We are doing the opposite: designing the product around autonomous and semi-autonomous agents as the primary way.work gets done, with interfaces, data, and trust models built to match. As CPO, you will own this thesis end to end.
Agents as the core unit of the product, rather than features that wrap a model around old workflows.
Outcomes over interfaces — the product should accomplish outcomes, not just surface information.
Trust, transparency, and human-in-the-loop by design — designing for the momentswhere the agent acts on the user's behalf, and where the human stays in control.
Data and feedback as a moat — a learning loop where every transaction makes the next one smarter.
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