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.