Jobs in Santa Rosa, CA

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.

What you'll bring

• 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.

Locations