---
title: 'Stand Insurance Talent Community at Stand Insurance'
canonical: 'https://feeny.ai/job/stand-insurance-talent-community-stand-insurance-san-francisco-082ymg03r9mk'
type: 'job'
last_seen: '2026-09-07'
---

# Stand Insurance Talent Community at Stand Insurance

- **Company:** Stand Insurance
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-10
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/standinsurance/7b7749b7-c868-45df-8f39-1913c1cce7b0/application

> Stand Insurance invites candidates to join its talent community for future opportunities in insurance, engineering, product, and other functions. This is not an application for a specific role but a way to be considered when relevant positions open.

## Job description

Why Join Stand https://www.standinsurance.com/careers/why-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, our Stand World Model https://frontier.standinsurance.com.

We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.

Our leadership team https://www.standinsurance.com/vision includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight, bringing deep experience in building and scaling high-growth companies.

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.

Join Stand's Talent Community We are always interested in meeting exceptional people, even when there is not a specific open role that matches their background today.

If you are excited about Stand and want to be considered for future opportunities, we invite you to join our Talent Community. By submitting your resume, you will help us get to know your experience and interests so we can reach out when a relevant role opens.

Who Should Apply We would love to hear from people with experience or interest in areas such as:

- Insurance and underwriting
- Claims and operations
- Customer experience and support
- Product management
- Design and research
- Engineering and data
- Sales, partnerships, and business development
- Finance, people, and other business functions

Whether you are actively exploring or simply want to stay on our radar, we encourage you to submit your information.

What to Expect By applying to this posting, you are expressing interest in future opportunities at Stand. This is not an application to a specific open role, and we may not have an immediate match. Our team will review your background and may contact you if a role aligns with your experience.

How to Apply Please submit your resume and answer the questions on the application.

FOLLOW US ON LINKEDIN: CLICK HERE https://www.linkedin.com/company/standinsurance/?viewAsMember=true

Benefits:

- Above-market Health, Dental, and Vision coverage
- Weekly lunch stipend
- Flexible time off + holidays
- 401(k) plan
- Commuter benefits
- PAT & MAT Leave
- Short-Term and Long-Term Disability
- Monthly team gatherings
- In-office perks

AI in the Interview Process

Thoughtful use of AI tools is expected and valued at Stand. Candidates should be prepared to discuss how they use AI, how they evaluate its output, and how it informs their work. Strong communication, sound judgment, and the ability to clearly articulate experience and decision-making remain core requirements.

Some parts of the interview process are designed to assess independent thinking, communication, and problem-solving. If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance.

Work Authorization

Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more 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.

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.

## About Stand Insurance

## Company Overview
- **One-liner**: Stand Insurance uses physics-based simulation and AI to model wildfire, hurricane, and other perils at the individual property level, enabling it to insure homes that traditional carriers reject.
- **Entity Type**: Private (raised $80 M in venture funding)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2024
- **Founders**: Dan Preston (CEO), Jason Mueller, Sam Shank, Bill Clerico

## Core Business
- **Primary industry**: Property & casualty insurance (climate-resilience focused)
- **Target customers**: Homeowners in high-risk areas (wildfire, hurricane, earthquake zones); works through brokers and directly
- **Mission**: “Protect and insure homes — wildfire, hurricane, and beyond” by proving risk is insurable through science, not ZIP-code averages

## Products & Services
- **Stand Insurance (Home Policies)**: Custom insurance policies for high-value properties in wildfire, hurricane, and earthquake zones. Policies are backed by A‑rated reinsurance partners and include risk-mitigation recommendations.
- **Stand World Model**: A physics-grade digital twin of every insured property. Uses CFD (computational fluid dynamics) and FEA (finite element analysis) to simulate fire spread, wind, and water at sub‑meter resolution. The model identifies the highest‑leverage mitigations (e.g., defensible space, ember‑resistant vents) and adjusts premiums accordingly.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: $80 M total funding raised (as of May 2026)
- **Notable Investors**: Equal Ventures, Lowercarbon Capital, Eclipse Ventures, Inspired Capital
- **Growth Signals**: Growing 20 % month‑over‑month; expanding from California into Florida (SE hurricane products); team of ~50 people; hiring across science, engineering, insurance, and operations

## Competitive Advantages
- **Physics‑first risk model**: Simulates actual fire, wind, and water behavior on each parcel (not statistical averages), enabling coverage for homes others won’t touch.
- **Field‑verified data**: Every policy includes a property assessment that captures real‑world details models miss.
- **AI‑native stack**: Uses frontier models and coding agents across underwriting, engineering, and operations; collapses week‑long analyses into seconds.
- **Founding team**: Serial entrepreneurs who built Metromile (Nasdaq), Policygenius (acquired), HotelTonight (acquired by Airbnb), and WePay (acquired by JPMorgan).

## Strategic Focus
- **Geographic expansion**: Entering Florida (hurricane) after establishing California (wildfire); planning additional states.
- **Talent scaling**: Hiring ahead of 20 % monthly growth, especially in physics simulation, ML, and insurance product roles.
- **Product development**: Deepening the “Resilience as a product” model — helping homeowners make properties less vulnerable and rewarding them with lower premiums.

## Why Work Here
- **Hybrid work model**: Offices in San Francisco and Florida; roles are hybrid (some in‑office, some remote flexibility).
- **Equity & compensation**: All roles offer equity; salary ranges listed (e.g., $150 K–$210 K for senior roles).
- **Small team, outsized impact**: ~50 people today; AI multiplies output, so each person owns a large surface area from day one.
- **Cutting‑edge tech**: Work on GPU/HPC infrastructure, physics simulations, and the latest AI tools; the company adopts new tools “the week they ship.”
- **Mission‑driven**: Tackling the hardest climate‑risk problem in insurance — making the most exposed homes insurable.

## Sources
1. [standinsurance.com](https://www.standinsurance.com/)
2. [standinsurance.com/careers/](https://www.standinsurance.com/careers/)
3. [standinsurance.com/careers/why-stand/](https://www.standinsurance.com/careers/why-stand/)
4. [standinsurance.com/vision/](https://www.standinsurance.com/vision/)
5. [builtin.com](https://builtin.com/company/stand-standinsurancecom)

## Other roles at Stand Insurance

- [Client Concierge Specialist](https://feeny.ai/job/client-concierge-specialist-stand-insurance-austin-zr6dk4216vbj) — Austin, TX
- [Member of the Technical Staff - Data Engineer](https://feeny.ai/job/member-of-the-technical-staff-data-engineer-stand-insurance-san-francisco-1jfrcgs78qsr) — San Francisco, CA
- [Member of the Technical Staff - Agentic Engineer](https://feeny.ai/job/member-of-the-technical-staff-agentic-engineer-stand-insurance-san-francisco-z776hztygmt1) — San Francisco, CA
- [Machine Learning Engineer - Multimodal Modeling](https://feeny.ai/job/machine-learning-engineer-multimodal-modeling-stand-insurance-san-francisco-nnj8x0j03mgc) — San Francisco, CA
- [Applied Science Platform Lead](https://feeny.ai/job/applied-science-platform-lead-stand-insurance-san-francisco-njdxbdh6a3yh) — San Francisco, CA
- [Head of Marketing](https://feeny.ai/job/head-of-marketing-stand-insurance-san-francisco-sgg0vbyrchya) — San Francisco, CA
- [Market Lead](https://feeny.ai/job/market-lead-stand-insurance-san-francisco-4xq7g1e2bjr0) — San Francisco, CA
- [Machine Learning Team Lead](https://feeny.ai/job/machine-learning-team-lead-stand-insurance-san-francisco-t5adr64rzf4p) — San Francisco, CA