
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, United States
Focus: Homeowners insurance and risk-management for climate‑intensified perils (initial focus: wildfire)
Tech: Physics-driven simulation, AI, and property digital twins
Employees: 43
Climate‑intensified property risk (starting with wildfire)
Insurtech / Homeowners Insurance
Crunchbase lists a prior Series A round; details not provided in the evidence.
Crunchbase indicates a Series B as the latest round; specific amounts and dates are not shown in the provided evidence.
“Equal Ventures; Eclipse Ventures; Inspired Capital Partners”
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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.
The Problem We’re Solving: A home’s survival in a wildfire or flood depends on its materials, geometry, topography, and defensible space. Traditional insurance models flatten that complexity, offering little insight to homeowners and few incentives for mitigation.
Stand combines deterministic catastrophe models with modern AI to compute property-level risk and embed it directly into underwriting, pricing, and mitigation workflows. Instead of obscuring risk behind averages, we make it measurable and actionable - giving insurers sharper pricing signals and homeowners clear insight and incentives to mitigate. We build production software that connects scientific modeling to real-world insurance operations, turning physics into decisions.
The Role: We’re hiring a Product Engineer with engineering leadership depth
This role is not narrowly scoped. You’ll own critical systems across the insurance lifecycle, from core workflows (policy, underwriting, claims, payments) to entirely new products like wildfire preparedness inspections, risk monitoring, and customer-facing mitigation tools.
You’ll work closely with applied scientists, product leaders, and stakeholders to:
This is a high-leverage role with broad surface area and real influence over product direction.
How You’ll Lead: This role carries engineering leadership expectations :
This is a high-leverage role with broad surface area and real influence over product direction.
Who This Role Is For: This role is a strong fit if you’ve been a:
…and you’re energized by ambiguous problems, real responsibility, and building durable systems that matter.
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.
Benefits:
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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