Senior Product Manager

About Us: Homebound is on a mission to make it possible for anyone, anywhere, to build a home using technology. Created by an experienced team of construction, real estate, design, and technology experts, Homebound is transforming the residential construction industry by improving the costly and inefficient process of building a home. We’ve created an entirely new way to build homes with technology powering every stage from start to finish to provide a seamless experience for our customers. Homeowners across the country can choose where they want to live, select a home plan that’s perfect for them, then personalize and buy it, all online. Homebound has raised $150M in capital from leading venture capitalists like Google, Khosla, Thrive Ventures, and we’re scaling quickly in places like Texas, Colorado and Florida. Come build your future with us. About the Role: We are hiring a Senior Product Manager to help us accelerate how homes get built. This is a broad, high-leverage role for a product manager who wants surface area. You will own critical parts of our platform end-to-end - the systems that price a home, schedule a build, manage cost and margin, coordinate trade partners, and give our teams the information they need to make faster, better decisions. Where you focus will evolve with the business, and you will be trusted to pick up and own new squads as our priorities shift. The through-line is speed. Every week we take off a build cycle, every dollar of variance we catch early, and every decision we can automate compounds across every home we build. You will be measured on real operational outcomes - cycle time, cost accuracy, margin, throughput, adoption - not on shipping features. Much of this work runs on genuinely complex data: cost structures, budgets and actuals, change orders, draw schedules, vendor pricing, and multi-month probabilistic schedules. We need the kind of PM who goes into the data personally, notices when a number does not reconcile, and cares about getting it exactly right - because our operators and our financials depend on it. AI is not a separate track here - it is deeply integrated into the platform, and we expect it to be part of how every new feature gets designed. The default question on any problem is not “what screen does the user need?” but “how much of this can the system decide, predict, draft, or eliminate outright?” We want a PM who reaches for LLMs, agents, and applied ML as first-class primitives in the product, holds a clear view of where they genuinely outperform deterministic logic, and is equally clear-eyed about where they do not belong.