Stand · 21 hours ago
Physics Simulation Team Lead
Stand is a company that focuses on innovative global property protection using advanced physics and AI to model catastrophic risk. The Physics Simulation Team Lead will oversee the development of physics-based simulation capabilities, ensuring scalable and validated systems that inform risk decisions and enhance business outcomes.
Responsibilities
Act as the functional technical lead for the growing physics simulation sub-team within the Applied Science group, coordinating work across scales and perils while establishing and pioneering workflows, modeling standards, and validation practices
Own the overall physics simulation roadmap, including solver development, model tuning, and validation, as well as prioritizing modeling investments across wildfire and future perils based on feasibility, impact, and business needs
Partner with recruiting to build the simulation sub-team, contributing to interviewing and onboarding early hires and laying the foundation for player-coach leadership as the team scales
Design and lead expansion into new perils (e.g., wind, flood), including uncertainty scoping, validation milestones, and ownership swimlanes—standing up wholesale new engineering workflows end-to-end (necessitating getting hands dirty diving deep and learning quickly
Guide the development of probabilistic risk mechanisms from deterministic physics models using computationally efficient approaches (e.g., surrogate or reduced-order methods)
Collaborate closely across Applied Science and the full company, including with ML engineers and product teams, and communicate modeling decisions and tradeoffs clearly to leadership and partners
Qualification
Required
PhD or Master's degree in a relevant field, with 5+ years of hands-on experience leading and executing CFD-based simulations, including design, execution, and validation
Experience as a technical lead, managing projects or teams in highly dynamic, fast-paced environments
Strong attention to detail and succinct communication skills, with a demonstrated ability to set technical direction and prioritize modeling work, balancing research depth, delivery timelines, and business impact
Proficiency with Fortran-based solvers, including running, modifying, and extending existing codebases; fluency in C++, Python, or similar languages for scripting, integration, and tooling; industry experience working with high-performance compute and parallel processing workflows
Strong modeling mathematical intuition - able to make sound tradeoffs between fidelity, runtime, and uncertainty, and to identify the highest-leverage improvements without exhaustive experimentation
Highly self-motivated, with a 'run-through walls to get the problem solved' method, self-directed, proactive, and adaptable; comfortable operating in fast-paced, ambiguous environments where problems, interfaces, and priorities evolve over time
Preferred
Experience applying physics-based simulation to natural hazards, climate, or risk modeling (e.g., wildfire, wind, flood)
Experience working directly with business units or product teams on customer or client-facing technology
Prior experience as a people manager in startup or high-growth environments
Experience designing and owning multiscale or multiphysics simulation pipelines, including coordinating validation efforts across models, data sources, and teams
Hands-on experience with reduced-order modeling, surrogate models, or uncertainty quantification techniques
Experience integrating physics-based models with machine learning systems for acceleration or inference
Benefits
Meaningful Equity Grant
Company
Stand
Stand offering a solution that protects property while insuring it.
Funding
Current Stage
Growth StageTotal Funding
$65MKey Investors
Eclipse Ventures
2025-10-16Series B· $35M
2024-12-16Series A· $30M
Recent News
Beinsure - Insurance, Reinsurance, InsurTech Insights
2025-10-29
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