Engineering Manager, Detection

Manage, grow and support a team of experienced engineers responsible for applications, tools and infrastructure that drive our security products.

Work closely with engineers, scientists, stakeholders and other domain experts to come up with and execute on unique solutions that contribute to detection and mitigation of fraud and automation.

Mentor and guide engineers to grow in skill and knowledge, allowing them to make the best decisions given the right tools and context.

Participate in code and architecture design, contribute to feature development and maintain high quality standards via peer reviews and mentorship.

Gain knowledge and experience working with a system that impacts hundreds of millions of users per day, along with some of our biggest customers.

Learn about security, labeling, and machine learning through product features and knowledge sharing amongst the company.

Utilize the latest technologies to design and develop scalable solutions along with monitoring tools that provide unique insight into both our users and customers.

8+ years of professional experience in software engineering

2+ years of leading or managing engineering teams

Extensive experience with Typescript or Python, familiarity with other languages like Rust, Go, or C++

Understanding of distributed systems and scaled operations, ideally in the context of having built applications that scale to handle millions of requests per second.

Familiarity with Kubernetes and Docker

Demonstrated leadership skills in building a high-performing and highly engaged engineering team, preferably in geo-distributed orgs.