Principal UI/UX Engineer

Principal UI/UX Engineer (Experimentation & Visualization)

Who We Are

We are 8th Light, a remote-first software consultancy, we consider software design and development a craft. We’re driven by our deep commitment to excellence, and powered by our collective depth of knowledge and experience. Our team of expert developers and designers hold the title of "Crafter" to reflect our dedication to quality, our emphasis on continual learning, and our belief that software is truly a craft — something we take pride in, and value highly. We value colleagues who enjoy learning and teaching, which creates our collaborative organization.

We take a human-centered design (HCD) approach to crafting digital solutions, collaborating with the people writing code as well as those using it. We enjoy working with empathetic, passionate collaborators who value the work they do. As a team of polyglot generalists — thinkers and doers ready to take on most any challenge that we encounter, we remain positioned to help an ever growing portfolio of client partners. If this approach to product and software development resonates with you, we'd love to talk.

Who You Are

You are a highly experienced front-end engineer with a strong background in data visualization and experimentation tooling. Leveraging 10+ years of experience, you are passionate about building accessible, intuitive, and statistically trustworthy user interfaces that help technical and non-technical users interpret experimentation results. You transform complex metrics into clear visual stories that guide decision-making, making the data not just visible but meaningful. You understand that great UX in experimentation isn’t just about presenting data. It is about helping users explore, compare, and share insights confidently. You excel in building custom React visualizations and integrating them seamlessly with backend APIs and BI tools. In your past experience, you have:

• Built advanced interfaces using React and TypeScript, including custom chart components. 
• Created and embedded dashboards using business intelligence tooling such as Apache Superset, with templated SQL logic and user filters.  
• Used visualization libraries like D3, Recharts, or Chart.js to clearly communicate statistical metrics. 
• Integrated frontend components with Java/Spring Boot APIs and structured result data.
• Translated metrics such as lift, p-values, confidence intervals, and significance into visual, accessible insights.
• Collaborated closely with cross-functional teams (e.g., analysts, model owners, PMs) to ensure your tools are aligned with workflows, not just data.
• Designed data storytelling flows that help users compare variants, identify trends, and share learnings.

What You’ll Do

As a Principal Engineer focused on experimentation and insight delivery, you’ll lead front-end and visualization execution for client-facing experimentation platforms that help teams explore, interpret, and act on statistical results. Your work will turn complex data into clear, accurate, and compelling, visual stories that make trade-offs, signals, and decisions more understandable. You’ll also:

• Own the UI layer for experimentation results, ensuring clarity, performance, and usability. 
• Build and maintain Superset dashboards that visualize KPIs, guardrails, and cohort metrics. 
• Embed Superset views into React-based portals, managing auth, layout, and dynamic filters. 
• Design and implement custom React data visualizations (e.g., lift charts, confidence bands, significance indicators). 
• Collaborate with Platform Data Engineers and Java API teams to define and consume versioned, structured result data. 
• Lead UX design for flows like result filtering, exclusions, comparison tools, and sharing experiments.
• Partner with stakeholders to ensure your tools reflect the decisions they need to make, not just the data that’s available.
• Create storytelling experiences that help users navigate results, spot meaningful patterns, and share findings across teams.

Strongly Preferred: 

We strongly encourage candidates with the following experience to apply: 

• Experience with Bayesian analysis, calibration charts (e.g., TTR), or advanced stat models. 
• A strong grasp of accessibility (WCAG), progressive enhancement, and front-end performance tuning.