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Ketch

Product Engineer (data privacy SaaS, backend focus)

San Francisco; USUnited States
Engineering
POSTED 16 OCTVERIFIED 1D AGO
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Role
23 days opentrue age
Posted 16 Oct
Pay
$187k–$265kno pay posted
Market p25–p75
$187k–$265k
SF Bay Area · n=118 · 365d to 6 Nov
CompanyKetch →
10open roles
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Ketch is a modern privacy management software that keeps enterprise's data clean, permissioned, and AI-ready. Our software is trusted by 3,500+ brands, running data permissioning at scale. From global retailers to media networks, fintechs, and AI-native companies, brands rely on our software to responsibly collect, control, and activate compliant, clean data across their enterprise ecosystem.

As privacy regulations expand across the globe and AI transforms how companies use data, the demand for what Ketch has built has never been greater. Data privacy sits at the intersection of law, technology, and consumer trust, making it one of the most exciting and fastest-moving fields in software today.

The Ketch Data Permissioning Platform simplifies privacy and consent operations, increases revenue from advertising, data, and AI initiatives, and builds trust with customers and partners. Unlike legacy tools that stop at cookie banners, Ketch governs how data is actually used across a company’s entire stack, with no-code setup that gets customers live in weeks, not quarters.

Why Join Us?

At Ketch, we’re serious about our values of passion, growth, grit, collaboration, and integrity.

We’re a 70-person, Series B company backed by top-tier investors, and we’re looking for people who want to do the best work of their careers while shaping how the world handles data responsibly.

We’re a fast-growing, fast-paced organization and our passionate, close-knit team is all operating at the very top of their game.

Benefits

  • Competitive medical, dental, and vision coverage, with 100% of premiums paid for US-based full-time employees
  • Unlimited PTO
  • 10 paid company holidays
  • Paid parental leave
  • Remote-friendly with flexible scheduling built around core collaboration hours
  • Commuter benefits for office-based employees
  • Equity

Who we are

Ketch is a Series B data privacy B2B SaaS redefining responsible data use for the AI era. The Ketch Data Permissioning Platform is the new layer of business technology that helps brands collect, control, and activate permissioned, privacy-safe data across every device, system, and third-party app.

Brands around the world use Ketch to simplify privacy and consent operations, increase revenue from advertising, data, and AI initiatives, and build trust with customers and partners.

Our patented technology empowers businesses and software engineers with a deploy-once, comply-and-secure-everywhere framework for exerting perfect control over every scrap of responsibly gathered data. This intelligent and pervasive data fabric underpins our vision to move from rules to tools to ensure privacy is respected as an essential human right.

‍What you will be doing at Ketch

We are looking for a highly skilled backend engineer who is comfortable with building and running large scale systems in cloud native ways. You will be solving challenging problems while learning a great deal and having fun at the same time.

What we are looking for

Our ideal candidate is a technical expert that gets things done by using their smarts and whatever tools make sense for the job at hand. Someone who loves to stand on the shoulders of giants to solve new problems and thrives in a rapidly innovating space working with other smart people.

This is a full-time, hybrid position based out of San Francisco, California

Below is a detailed breakdown of responsibilities

  • Build solutions to solve our enterprise customers’ data privacy and security problems at scale
  • Take ownership of what you build. Take pride in building it better and scaling it
  • Develop server-side components primarily in Golang and interact with various data stores and processing pipelines
  • Co-own a performing, fault-tolerant, highly secure microservice architecture and continuously evolve it
  • Master data security and data protection techniques and put them into practice
  • Work closely with stakeholders/customers to understand use cases and solutions end-to-end
  • Collectively be responsible for the well-being of our SaaS production system - quality, performance, scalability, reliability and efficiency
Source · KetchFirst seen 7 NovOriginal ↗