
We protect and insure homes — wildfire, hurricane, and beyond using physics and AI to understand the true risk of your property and help make your home insurable.

We protect and insure homes — wildfire, hurricane, and beyond using physics and AI to understand the true risk of your property and help make your home insurable.
Headquarters: San Francisco, California
Core tech: Physics-driven simulations + AI for property-level wildfire and hurricane risk
Product focus: Homeowners insurance programs and mitigation guidance (including high-value CA HO-5 and FL HO-3)
Employee count (reported): 52
Homeowners insurance for properties exposed to wildfire and hurricane risk; property-level risk modeling and mitigation guidance.
Insurtech
Stage: Series A
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Why Join Stand: At Stand, you’ll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine.
We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.
Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.
Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can’t and operate with far less friction.
Role Description As a Senior Product Engineer, you’ll help build the core Stand platform end to end. This includes heavy AI-driven automation, productionizing catastrophic-risk simulations, designing cloud infrastructure and data pipelines, building real-time monitoring and visualization, and automating the systems that run the business.
This is a high-ownership role on a very small team of four. We expect engineers to own traditional PM activities, use AI tools aggressively, and drive problems from first principles to production.
If you want to own a small piece of a big team, this isn’t a fit.
If you want to own a large part of a durable platform end to end, work directly with customers, and reshape how property risk is understood and underwritten, it is.
Must-Have Qualifications
Nice-to-Haves
Compensation The annual base salary range for full-time employees in this position is $200,000 to $250,000 + meaningful Equity Grant.
Compensation decisions are dependent on several factors, including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.
Equal Opportunity Employment Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community. We are committed to providing reasonable accommodations for qualified individuals. If you require assistance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $200K - $250K
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