
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”
| Company |
|---|
About Stand Stand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance, technology, and climate science: building billions in market value at prior ventures. At Stand, we are rethinking how insurance enables proactive, science-driven resilience.
Existing insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting-edge analytics to provide personalized risk assessments—helping homeowners secure coverage and take proactive steps toward resilience.
Why Stand At Stand, you’ll join a mission-driven team redefining insurance through the lens of climate resilience, building a transformative, data-driven insurance model with real-world impact for homeowners and communities on the front lines of climate change.
The Opportunity As a Physics Simulation Engineer on the Applied Science team, you’ll play a key role in developing and deploying advanced computational physics models, collaborating closely with engineers, technologists, and leadership in a highly interdisciplinary environment.
We’re investing in physics-based simulation as a core capability to model and mitigate risk. This includes adapting traditionally high-cost engineering methods (e.g., CFD, FEA) into scalable, automated tools that operate orders of magnitude faster. You’ll also help us train machine learning models to understand the underlying laws of deterministic physics—transforming legacy workflows into modern, accessible systems.
This role offers a front-row seat to shaping how high-fidelity simulation and AI intersect to characterize the physical world.
What You’ll Do
What We’re Looking For
Preferred Qualifications
Compensation The annual base salary range for full-time employees in this position is $160,000 to $210,000 + meaningful Equity Grant.
Compensation decisions are based on several factors, including an individual’s qualifications, the location where the role is performed, internal equity, and alignment with market data.
Additional Benefits
Work Authorization Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas for this role. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or less remaining.
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.
Stand Insurance is committed to providing an inclusive and accessible recruitment process. If you require any accommodations during the application or interview process, please let us know by contacting hiring@getstand.com. We will work with you to ensure you have the support you need to participate fully.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation Range: $160K - $210K