Member of the Technical Staff

Stand Insurance•San Francisco, CA

11d•$235,000 - $295,000•Onsite

About The Position

Stand is building a new class of global property protection using advanced physics and AI to model catastrophic risk at the asset level, automating underwriting and mitigation before loss occurs. The company's core product is a scalable risk engine called the Stand World Model. Unlike traditional insurers who focus on pricing loss after it happens, Stand simulates how real-world catastrophes affect individual properties, translates this into actionable decisions, and automates the business around it. This platform can underwrite what others can't and operate with less friction. The property insurance industry typically relies on coarse proxies, backward-looking data, and manual processes, accepting damage as unavoidable. Stand's approach combines deterministic catastrophe models with modern AI to compute property-level risk and embed it into underwriting, pricing, and mitigation workflows. This provides insurers with sharper pricing signals and homeowners with clear insights and incentives for mitigation. The company builds production software that connects scientific modeling to real-world insurance operations.

Requirements

Proven experience owning and shipping production systems using a modern programming language (Python, Ruby, Rust, etc.).
Experience deploying, operating, and monitoring applications on modern PaaS or cloud platforms (Heroku, Vercel, Railway, etc.).
Track record of end-to-end project ownership, including direct work with stakeholders and end users.
Comfort learning new tools, frameworks, and domains quickly.
Practical experience using LLMs to improve engineering workflows, system design, or developer productivity.
Genuine interest in Stand’s mission and the real-world impact of the work.
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.

Nice To Haves

Experience in regulated or risk-sensitive industries (insurance, fintech, health, climate, infra).
Experience operating in early-stage or scaling startups.
A pragmatic agile mindset focused on outcomes over ceremony.

Responsibilities

Own critical systems across the insurance lifecycle, from core workflows (policy, underwriting, claims, payments) to new products like wildfire preparedness inspections, risk monitoring, and customer-facing mitigation tools.
Translate complex domain problems into shippable systems.
Decide what to build, not just how to build it.
Productize models, pipelines, and tools that directly impact risk, revenue, and customer behavior.
Take responsibility for entire problem spaces, including architecture, quality, reliability, and long-term evolution.
Partner with stakeholders to shape scope, define success metrics, and make informed tradeoffs under uncertainty.
Move between zero-to-one builds and hardening existing systems, knowing when speed matters and when rigor matters more.
Use modern tools, including LLMs and agents, to increase team velocity and reduce operational drag.
Explain decisions, surface risks early, and create shared understanding across technical and non-technical partners.