Ntop

Staff Product Designer

New York, USA · Staff+

Sponsorship not specified$180k-$200kDetected 152 days ago

AI OrchestrationDesign SystemsCFDLeadership

About the role

We're a growth-stage company with deep roots in computational geometry, and we're at an inflection point in how our product works and what it needs to become.
That means learning the visual vocabulary of a domain (signed-distance fields, vector fields, surface continuity, CFD overlays) and designing systems that make it coherent and navigable for experts.

Define the interaction primitives, conceptual models, and design principles that govern how users understand and work within nTop, across the existing workstation product and the new surfaces being built.
Identify systemic inconsistencies and opportunities before they become entrenched, and drive alignment across product management and software engineering.
As the sole designer on the product team, create the design system, principles, and documentation that the software engineering organization can build against, and that future designers can build on.
you'll rebuild and lead our design function, with direct influence over the full product experience and a seat at the table for strategic decisions.

skilled at designing abstractions, states, and constraints that remain coherent and extensible as the product grows.
Strong information architecture instincts for expert users in constraint-heavy, precision workflows.
Comfortable in technical depth.
You don't need to write code, but you need to participate as a peer in conversations about architecture, performance, and trade-offs.
Experience designing for AI-assisted workflows, including interaction patterns for uncertainty, model transparency, and human override.

Our interface has to match their precision, reducing friction without hiding power, making complexity legible without making it shallow.
That model is changing.
These are workloads that require high-performance computing, not a single laptop.
Our product already has this capability, but it requires custom code and infrastructure work to deploy.
Own the product's design architecture.
Set cross-product design direction.
Work the problem with the people closest to it.
Define how AI capabilities reach users.
At nTop, AI means physics-surrogate models, generative geometry workflows, and engineering knowledge systems.
Define the interaction patterns that make these capabilities useful and interpretable in practice.
Establish the design foundation.
Partner with product and technology leadership.

Partner with our forward-deployed field engineering team, who work directly with customers on real programs, and our UX researcher to identify the friction points that most affect users and our business.

This listing is sourced directly from Ntop's careers page and normalized into a canonical job model.