Stand is revolutionizing how society assesses, mitigates, and adapts to climate risks by leveraging advanced deterministic models and cutting-edge analytics to provide personalized risk assessments, helping homeowners secure coverage and take proactive steps toward resilience. The Applied Science team builds state-of-the-art digital twins to model and mitigate climate risk, aiming to turn advanced physics simulations and AI-driven analytics into intuitive tools. The Product Visualization Engineer will bridge the gap between complex models and real-world usability by designing and shipping front-end tools that make simulations intuitive and performant.
Requirements
- 3D / technical visualization: build and optimize interactive scenes (Three.js/R3F), e.g., scene graphs, selection, transforms, annotations, and performance tuning
- Geospatial/3D data wrangling: point clouds/meshes, LiDAR & orthomosaics, 2D masks/segmentations; coordinate systems; integrating sources of varying accuracy and vintage
- UX: design intuitive interfaces for digital twins (user flows, interaction patterns, affordances)
- Front-end expertise in TypeScript + React (shipping, owning and maintaining production tools)
- Modern software practices: comfortable with standardized dev environments (monorepos/containers), CI/CD pipelines, automated testing, code reviews, observability, and shared libraries
- Exposure to CFD/FEA/physics outputs (e.g., combustion, wind) and visualizing scientific data
- General ML literacy familiarity with integrating off-the-shelf models/segmentations and reasoning about basic metrics (on-the-job learning encouraged)
Responsibilities
- Own front-end tooling for the Applied Science team, from design through production
- Build efficient, intuitive interfaces to visualize, edit, and label digital twins in our simulation pipelines
- Collaborate across teams to transform CFD and AI outputs into actionable visualizations
- Integrate diverse data sources (e.g., LiDAR, drones, ground-data), capturing real-world changes
- Leverage off-the-shelf ML models to accelerate simulation prep and property assessments
- build and optimize interactive scenes (Three.js/R3F), e.g., scene graphs, selection, transforms, annotations, and performance tuning
- design intuitive interfaces for digital twins (user flows, interaction patterns, affordances)
Other
- Partner with Product to evolve deep-tech into fully supported features aligned with user needs
- Product sense & collaboration: partner with Product to translate prototypes into supported features; align requirements; and communicate clearly in demos and docs
- 5 years of Industry experience post Masters or PhD in relevant field.
- The annual base salary range for full-time employees in this position is $160,000 to $210,000 with a meaningful Equity Grant.
- Comprehensive benefits including above-market Health, Dental, Vision
