Product Engineer (data privacy SaaS, frontend focus)

Role Overview

As a Software Engineer at Ketch with a frontend focus, you will build the product surfaces that make massive, messy data ecosystems feel understandable and controllable. Our backend and AI systems classify sensitive data, detect issues across hundreds of technologies, and make real-time policy decisions. Your job is to turn signals, metadata, and model outputs into interfaces that feel fast, intuitive, and trustworthy.

You will design workflows that help customers inspect systems, explore classification results, understand why decisions were made, evaluate risk, and take action.

What You'll Own

• Build interfaces where customers map their entire data ecosystem and see how information moves across systems.
• Create React experiences that surface real-time classifications, consent states, policy outcomes, and risk signals.
• Craft experiences that bring "privacy by design" to life and are seen by millions of users every day.
• Turn AI insights, model explanations, and decision traces into UI that feels obvious and trustworthy.
• Build inspection tools that reveal where sensitive data appears, why the system flagged it, and what action to take next.
• Work hand-in-hand with designers to craft reusable components and data patterns that stay reliable across streaming events, large datasets, and complex async flows.
• Partner with backend and AI teams to shape the data contracts powering classification, system discovery, and automated governance.
• Elevate our design system with patterns that make advanced privacy and governance concepts feel simple.

What We're Looking For

• 2–5 years of experience building production web applications, with deep TypeScript and React experience.
• A clear understanding of how browsers render, with experience tracking down and fixing real performance problems.
• Hands-on experience shipping React interfaces that are fast, clean, and reliable in production (react-query experience is a plus).
• Ability to design simple, predictable state patterns and work confidently with async data and evolving UI flows.
• Comfort working with backend and AI engineers to shape APIs and turn raw data into great product experiences.
• A product-first mindset with clear communication and a bias toward shipping, learning, and iterating quickly.
• Willingness to dive into performance issues, edge cases, and fine UI polish.
• Familiarity with testing, design systems, and startup engineering best practices.