Staff Product Engineer, Frontend — Data Visualization & UX

Keystone AI · Bellevue, WA
LinkedIn

Posted

Aug 07, 2026 (Aug 07)

Seniority

Lead

Work Model

Not Specified

Type

Not Specified

Category

Data & ML

Salary

Not specified

Skills

CSS HTML JavaScript Less Machine Learning React Tableau TypeScript

Description

Keystone AI is building an enterprise decision platform that applies advanced forecasting, machine learning, optimization, and economics to some of the most difficult operational challenges faced by global companies. We transform complex operational data into better forecasts, better decisions, and measurable economic outcomes. Our platform helps companies understand what is happening inside their operations, predict what will happen next, evaluate possible actions, and quantify the impact of those decisions. We are looking for a Staff Product Engineer who combines deep frontend engineering expertise with exceptional strength in data visualization, information design, UX, and interaction design. This is not a conventional frontend implementation role. You will help shape the product, determine how complex information should be represented, prototype new experiences, and personally build those experiences into production software. The Opportunity You will work closely with Product, Design, Science, Data, Engineering, Forward Deployment, and customers to create experiences that make sophisticated forecasting and decision science understandable, explorable, and actionable. You will help answer questions such as: How should users understand what our models have discovered? How should we represent forecasts, uncertainty, confidence, scenarios, and recommendations? How do we help users compare alternatives and understand tradeoffs? How do we connect operational decisions to financial and economic outcomes? How do we transform internal scientific tools and customer-specific work into durable product capabilities? The right person will bring the visual-analytics instincts of products like Tableau, the customer and product problem-solving orientation of Palantir-style environments, and the hands-on engineering depth required to build sophisticated production applications. What You’ll Do Shape Product & User Experiences Partner directly with Product, Science, Forward Deployment, and customers to understand complex problems and translate them into intuitive workflows. You'll contribute strong opinions around usability, interaction design, information hierarchy, and product direction—from early discovery and prototyping through production delivery. Design Complex Information Determine the clearest visual expression of forecasts, uncertainty, model performance, scenarios, constraints, recommendations, and economic outcomes. Design experiences that combine visualizations, tables, narrative explanations, annotations, controls, and workflows while preserving analytical depth without overwhelming users. Build Production Software Personally design and implement sophisticated frontend applications using React and TypeScript. Build custom interactive visualizations using technologies such as D3, SVG, Canvas, WebGL, Vega, Observable Plot, or comparable tools. You'll build high-performance experiences for large and complex datasets, establish reusable frontend and visualization patterns, collaborate with backend/data engineers on APIs and data contracts, and turn successful prototypes into maintainable production software. Establish Keystone's Visual & Interaction Foundation Help define how Keystone communicates data, scientific evidence, uncertainty, recommendations, tradeoffs, and economic value. Establish patterns for information density, annotation, comparison, navigation, and progressive disclosure while contributing to the broader design system and component architecture. Lead at the Staff Level Provide technical, UX, and product leadership while remaining deeply hands-on. Raise the frontend engineering bar through implementation, code review, mentoring, and technical standards. Take ownership from initial problem framing through production use and customer feedback. What We're Looking For Significant experience building sophisticated frontend products. Deep, current expertise in React, TypeScript, JavaScript, HTML, and CSS. Demonstrated experience designing and implementing complex data visualizations. Strong UX, interaction-design, and information-design judgment. Experience shaping products and workflows from ambiguous requirements. Experience with data-intensive, analytical, scientific, operational, financial, or enterprise software. Ability to move across visual design, product thinking, prototyping, frontend architecture, and production implementation. Experience building software that helps users investigate complex information or make decisions. Strong frontend performance, rendering, state-management, testing, and accessibility knowledge. Ability to collaborate with scientists, analysts, quantitative experts, and other highly specialized users. A portfolio, product, case study, or body of work demonstrating both visual judgment and production engineering depth. Exceptional written and verbal communication skills. Helpful Experience Experience in one or more of the following is valuable: business intelligence or visual analytics; forecasting, machine learning, optimization, or decision science; scientific, financial, economic, or geospatial products; probabilistic forecasting and uncertainty visualization; scenario planning or simulation; enterprise workflows; forward-deployed engineering; tools for scientists, analysts, or quantitative users; design systems for data-intensive products; or AI-assisted/agentic development. This Role May Not Be the Right Fit If This role is less suited for someone whose experience is primarily implementing designs created by others, assembling conventional dashboards, building frontend infrastructure/component libraries without significant UX ownership, or managing engineers rather than personally building software. We're looking for someone comfortable operating between design and code, working through ambiguity, and taking responsibility for both how a complex product should work and how it gets built.