Product Lead (AI Products
Listed on 2026-08-11
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Business
Location: City of London
Product Lead (AI Products)
Build the Future of AI for Real Estate
Location: London (preferred), Dubai or San Francisco
Reports to: Founder & CEO
About Smart Bricks
Smart Bricks is building the future of AI for real estate.
Every year, trillions of dollars are invested across residential, commercial and alternative real estate using fragmented systems, disconnected data and manual workflows. We're building an AI-native platform that helps investors, developers, lenders, governments and Fortune 500 companies source opportunities, underwrite investments, perform due diligence and manage portfolios using AI.
Alongside our software platform, we're building an Applied AI Lab that works directly with some of the world's largest real estate organisations to redesign complex workflows using AI. Every customer engagement generates institutional knowledge. Every deployment strengthens the platform. Every improvement compounds across every future customer.
We've raised over $5 million, led by Andreessen Horowitz (a16z), and are backed by some of the world's leading technology ecosystems, including Techstars, Google, NVIDIA and Microsoft through their AI and startup programmes.
Our Founder is a Forbes 30 Under 30 entrepreneur and an Andreessen Horowitz Scout, helping identify and back the next generation of AI founders globally.
We're building our founding leadership team across London, Dubai and San Francisco. Our London team is based at Balderton Capital, one of Europe's leading venture capital firms, giving us the opportunity to work alongside some of Europe's most ambitious founders, investors and technology companies.
This is a chance to join at the earliest stage of building what we believe will be one of the world's leading Applied AI companies for real estate.
Why exceptional people join us
🚀 Raised $5M+, led by Andreessen Horowitz (a16z)
🤝 Backed by Google, NVIDIA, Microsoft and Techstars
🏢 London office based at Balderton Capital
🌍 Building across London, Dubai and San Francisco
🏆 Founder recognised as Forbes 30 Under 30 and an Andreessen Horowitz Scout
🤖 Building Applied AI with leading institutional real estate organisations
Why this role?
This isn't a traditional Product Manager role. You won't manage Jira boards or spend your time writing PRDs.
You're joining to invent entirely new ways for the global real estate industry to work with AI. You'll work directly with customers, engineers and our Applied AI Lab to redesign how investors, developers, lenders and governments make decisions. Every deployment raises one question, "what should become product?", and your job is deciding which customer learnings become reusable platform capabilities. You'll own product strategy, design AI-native workflows, prototype new ideas, work directly with enterprise customers and build the Product organisation from the ground up.
The question you'll keep asking: if AI existed first, how would this workflow work, rather than how do we improve the existing software.
What you'll own
Product strategy. Partner directly with the Founder to define the long-term vision for the institutional platform: product vision, platform strategy and architecture, roadmap prioritisation, customer value and product quality. Make sure Smart Bricks becomes one coherent AI-native operating system, not a collection of disconnected features.
AI-native products. Design products that transform how real estate professionals work, thinking beyond dashboards and forms to where humans and AI collaborate naturally:
- Investment sourcing agents and conversational underwriting
- Due diligence copilots and investment committee work spaces
- Portfolio intelligence and asset management agents
- Market intelligence, capital allocation assistants and multi-agent investment workflows
Turn customer learning into product. The Applied AI Lab exists to learn, Product exists to scale those learnings. Working with the Head of Applied AI, identify the patterns across enterprise deployments by asking, for every engagement:
- What repeated?
- What surprised us?
- What created the most value?
- What should become product, and what should stay bespoke?
Then build the framework that turns that customer work…
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