Fifth Dimension is the most prominent AI company in real estate in the world, bringing vibe working to document-heavy industries 🌈. We work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions. We're looking for our first Product Manager in New York, reporting directly to the founder/CPO. You'll own product discovery, definition, and delivery for the highest-value use cases on a complex, data-rich platform used by the largest real estate investors in the world. This is an IC role with founder-level scope. You'll have direct access to customers, engineers, and the founders. You'll make real product decisions every week, not present recommendations to a committee. If you're the kind of PM that has VP-level ownership but wants to hone their craft in a truly AI native business and product space, this is the role. We’re a London, New York and Singapore based startup with ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise (and spice 🌶️): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. At Fifth Dimension, we’re demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don’t Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. The product challenges here are genuinely hard. How do you make AI-extracted lease terms trustworthy enough for a $500M acquisition decision? How do you design an intelligence layer that connects a hundred document types into a single view an investment manager actually uses? How do you build skills and automations that make professionals faster without making them dependent? Imagine it's 9 AM on a Monday. You're on-site with a major investment manager in Manhattan, watching how their analysts manually cross-reference lease abstracts with market data. By noon, you've sketched a product concept that would automate 80% of that workflow. By Wednesday, you're working with engineering to spec the data model. By Friday, a prototype is in the customer's hands and they're saying "this changes how we do deals." That's the pace. That's the impact.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed