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Stand · 5 hours ago

Product Visualization Engineer

San Francisco

Full-time

Onsite

Senior Level

$160K/yr - $210K/yr

5+ years exp

Stand is a technology and insurance company focused on addressing climate risks. As a Product Visualization Engineer, you will design and develop front-end tools that transform complex models into intuitive user interfaces, enabling users to visualize and interact with climate risk simulations.

InsuranceInsurTechProperty Insurance

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

Qualification

3D visualizationFront-end expertiseGeospatial data wranglingModern software practicesUX designProduct senseIndustry experienceGeneral ML literacyGeospatial ecosystem familiarityCollaboration

Required

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

Preferred

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