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Keystone AI, Bellevue-based, seeks a Staff Product Engineer who blends frontend engineering depth with data visualization and UX leadership. You will shape product direction, prototype new experiences, and build production software in collaboration with product, design, science, and data teams.
You will design clear visual representations of forecasts, uncertainty, and recommendations, using React, TypeScript, and visualization tech (D3, SVG, Canvas, WebGL).
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.
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:
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.
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.
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.
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.
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.
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.
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 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.