Engineering Manager (Data Science & AI)

Intro

• At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including 75% of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?
• Lead a team of strong developers, working on large-scale, complex and cutting-edge systems
• Managing the development and delivery of complex features from design to production according to product requirements
• Ensuring that risks and issues are identified and managed closely while driving all stakeholders to deliver on time and to the required quality standards
• Building a strong development team that can work independently and at the same time will collaborate with other international R&D teams
• Coordinate team activities with product managements, support, and other interfaces
• 12+ years of overall industry experience with 3+ years in building and managing highly skilled development teams, and the ability to lead, coach and influence them
• Good understanding of Data science & usage of AI and AI agents
• Deep understanding in Java, Microservices & Multithreading
• Good to have Golang, SQL database, Elastic search, K8S and Docker
• Experience in developing scalable, concurrent, low-latency, fault tolerant systems
• Strong track record of leading and managing the delivery of software development products, meeting key milestones and overcoming challenges
• Previous experience in working with other international R&D, product management and support teams
• Proven knowledge in both architecture and implementation-level software design of high-scale distributed systems
• Ability to manage, track and identify risks, bottlenecks and challenges ahead of time, and oversee technical coordination to resolve them
• Willingness to work in a fast paced, and driven team in a context-switching environment