Product Visualization Engineer

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Science & Engineering

Compensation

• $160K – $210K
• Offers Equity

About Stand

Stand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance, technology, and climate science: building billions in market value at prior ventures. At Stand, we are rethinking how insurance enables proactive, science-driven resilience.

Existing insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting-edge analytics to provide personalized risk assessments—helping homeowners secure coverage and take proactive steps toward resilience.

Why Join Stand

At Stand, you’ll join a mission-driven team redefining insurance through the lens of climate resilience, building a transformative, data-driven insurance model with real-world impact for homeowners and communities on the front lines of climate change.

The Role

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 theirավել 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.

This Role Will

• Own front‑end tooling forvalid? Actually we keep:
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 ajud? we keep:
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 citizenship? but keep: transform CFD and AI outputs into actionable visualizations

• Integrate diverse data sources (e.g., LiDAR, drones, ground-data), capturing real-world changesli

• Leverage off-the-shelf ML models to accelerate simulation prep and property assessments

Core Skills (Must-Haves)

• 3D / technical visualization: build and optimize interactive scenes (), 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 Type Script + 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 Have (Helpful, Not Required)

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