Frontend Software Engineer

Job Description

Job Description

About Ketch

We’re rebuilding the internet’s data layer for the AI era. Ketch runs systems that analyze billions of events and make millions of decisions every day, giving global brands real-time intelligence and control over how data moves across their entire ecosystem. This requires infrastructure that can keep up with the speed, volume, and complexity of modern AI-driven systems and deliver high-integrity outcomes across billions of data interactions.

We’re a well-funded Series B startup, backed by top-tier investors and led by a team with multiple exits. We build fast, ship with ownership, and work directly with customers to solve their hardest data challenges.

Why Us?

The AI era is breaking every old assumption about data protection. Sensitive data moves faster, through more systems, with higher stakes. Traditional privacy and governance tools can’t keep up. You’ll help build the infrastructure that replaces them.

Join us to engineer real-time systems that actively safeguard personal data at massive scale. You’ll design pipelines that classify and control data as it flows, services that react instantly to risk, and distributed systems that enforce user rights across hundreds of technologies. Your work ensures that companies can use data responsibly and that individuals retain control over how their data is collected and used.

Role Overview

As a Frontend Engineer at Ketch, you’ll 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 this firehose of signals, metadata, and model outputs into interfaces that feel fast, obvious, and trustworthy.

You’ll design workflows that help customers inspect systems, explore classification results, understand why decisions were made, evaluate risk, and take action. This role sits at the intersection of distributed systems, AI insights, and human decision-making : you’re giving users clarity in environments that are inherently complex.

This is a hybrid role based out of the San Francisco HQ 3 days a week.

What You’ll Own

• Build the 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

The estimated base salary range for this position is $160,000 to $200,000, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.