Staff Product Manager, Physical AI

As Staff Product Manager, Physical AI, you will own the forward-looking technology that brings AI to the teams building our homes. This is where the physical and digital worlds meet: your users are the Superintendents and Direct Construction Operators (DCOs) on the jobsite, and your product surface spans our mobile application, advanced onsite AI tools, automated data capture, and probabilistic construction schedules with insight analysis.

Responsibilities

Own the physical AI strategy and roadmap: Set the vision and execute end-to-end across the entirety of our field portfolio - from concept to rollout; Bring AI into the physical environment: Translate the capabilities of computer vision, multimodal models, and agents into products that operate reliably on an active jobsite, where inputs are messy and conditions change daily; Lead as a thought partner: Bring a strong, well-formed perspective on where field technology is going, and use it to shape how Homebound applies new technologies to the teams building our homes; Embed with the field: Travel to Texas monthly to work directly with Superintendents and DCOs, run trainings, drive rollouts, and build the tight feedback loops that make field products actually stick; Drive progress across teams: Operate independently and move initiatives forward across Construction Operations, Operations, and Engineering without waiting for a playbook; Define product with rigor: Write clear, actionable requirements, establish evaluation and quality frameworks for AI features, and prioritize based on impact, effort, and long-term value; Measure what matters: Define success metrics and run experiments to systematically improve accuracy, adoption, and field efficiency

Requirements

5+ years of product management experience, including ownership of a complex, technical product; A track record of shipping applied AI products - computer vision, multimodal, LLM/agent-based, or ML systems - that took meaningful action or made decisions in production, not just chat wrappers or lightweight integrations; Strong technical fluency - comfortable operating alongside engineers and ML teams as peers, reasoning through system tradeoffs, reading evaluations, and diving into the data to answer your own questions; A self-starter and independent operator who thrives in ambiguity, moves quickly, and drives outcomes cross-functionally without heavy process; A genuine thought leader in emerging AI - you follow the frontier closely and have a point of view on how to apply it; 0→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 seamlessly between field needs, technical teams, and executive leadership; Willingness to travel to Texas monthly to work shoulder-to-shoulder with our field teams

Nice to have

Genuine curiosity about the built world; Demonstrated experience applying technology in the physical world or in traditionally non-tech, unstructured environments (a strong plus); Interest in construction and the built environment