Product Visualization Engineer

Stand Insurance•San Francisco, CA

3d•$160,000 - $210,000

About The Position

On the Applied Science team, we build state-of-the-art digital twins to model and mitigate climate risk. Our goal is to turn advanced physics simulations and AI-driven analytics into intuitive tools that empower users to understand, interact with, and act on risk. As a Product Visualization Engineer, you’ll be the bridge between complex models and real-world usability. Your primary focus will be designing and shipping front-end tools that make simulations intuitive and performant—collaborating closely with Product, Engineering, and Applied Science in a highly cross-functional environment. You’ll play a critical role in connecting our deep-tech capabilities (e.g., CFD, FEA, AI models) with end users, enabling non-technical audiences to visualize, manipulate, and run their own simulations—transforming how climate-induced risk is assessed. The sweet spot for this role is deep expertise in 3D visualization and model interfaces (e.g., building editors and rendering physics outputs), paired with strong engineering discipline for building and shipping production-ready tools. Beyond that, we’re looking for someone who is excited to grow into product and design depth—bringing product intuition and shaping workflows over time, even if not fully proven on day one.

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
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.

Nice To Haves

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)
Geospatial ecosystem familiarity

Responsibilities

Own front-end tooling for the Applied Science team, from design through production
Partner with Product to evolve deep-tech into fully supported features aligned with user needs
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