Senior Product Manager

Homebound is on a mission to make it possible for anyone, anywhere, to build a home using technology. They are seeking a Senior Product Manager to own critical parts of their platform, focusing on improving the efficiency of home construction through data-driven decision-making and AI integration.

Responsibilities:

• Own a portfolio end-to-end. Set strategy, define the roadmap, and drive execution from concept through rollout and adoption for the squads you own
• Go where the leverage is. Take on new squads and problem spaces as the business needs them, ramping quickly on unfamiliar domains without waiting for a handoff document
• Make the numbers trustworthy. Build products on top of complex financial and operational data - budgets, actuals, cost structures, schedules, vendor pricing - with the rigor that data demands
• Build AI into every feature. Treat AI as a default design consideration rather than a special project - look at each workflow and ask what the system can predict, decide, draft, or remove entirely, then ship it with real evaluation and quality frameworks behind it
• Define product with precision. Write clear, actionable requirements. Think through edge cases before engineering finds them. Prioritize on impact, effort, and long-term value
• Measure what matters. Define success metrics up front, instrument them, and run experiments to systematically improve cycle time, cost accuracy, and adoption
• Drive across functions. Operate independently across Construction Operations, Finance, Sales, Design, and Engineering, moving initiatives forward without heavy process

Requirements:

• 5+ years of product management experience, including ownership of a complex, technical product
• Exceptional analytical rigor and comfort with messy, high-stakes data. You write your own queries, build your own models, and reconcile numbers yourself rather than waiting on someone else
• Experience with financial or operational data products - cost, pricing, margin, budgeting, forecasting, supply chain, scheduling, or similar - where accuracy is non-negotiable
• Genuine detail orientation. You catch the discrepancy nobody else noticed, and you sweat the edge cases that determine whether a workflow actually holds up in production
• A metrics-driven operating style: you define success quantitatively, instrument it, and hold yourself to it
• Strong technical fluency - comfortable operating alongside engineers and ML teams as peers, reasoning through system tradeoffs, and reading evaluations
• An AI-first instinct in how you design product. You look at a workflow and see what the system could decide or automate, not just what interface a person needs - and you can tell the difference between a problem AI genuinely solves and one where it adds risk without adding value
• Breadth and adaptability: a track record of owning multiple product areas, or stepping into new domains and getting productive fast
• 0 to 1 product building - hands-on experience taking a product from concept through launch to real-world adoption
• Exceptional communication skills, and the ability to translate between operators, technical teams, and executive leadership
• A self-starter who thrives in ambiguity, moves quickly, and drives outcomes cross-functionally without a playbook
• Interest in construction and the built environment is a plus. No prior industry experience required, but an expectation to learn the domain rapidly