Staff Product Engineer, Frontend — Data Visualization & UX

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:

• 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.

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 Type Script. 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.

• Significant experience building sophisticated frontend products.
• 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.

Experience in one or more of the following is valuable: business intelligence or visual analytics; forecasting, machine learning, optimization, or decision science; scientific, financial,…