Technical Product Analyst

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 the majority 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?

We are looking for a Technical Product Analyst with strong technical and analytical skills to research the DevOps industry and products, generating insights for company-wide stakeholders.

As a Technical Product Analyst at JFrog you will...
Conduct in-depth technical research into various aspects of the software development lifecycle, including DevOps, DevSecOps and MLOps
Analyze and evaluate technical products, services, and emerging technologies in our domain
Synthesize complex technical information into clear, concise, and actionable insights
Present research findings effectively to both technical and non-technical audiences
Work in close collaboration with diverse teams throughout the research lifecycle, from investigation and analysis to driving strategic action
Stay current of industry trends, technological advancements, and competitive dynamics
To be a Technical Product Analyst at JFrog you need...
Deep technical & hands-on DevOps expertise. At least 4+ years of intensive experience in technical research or software engineering, with proven skills in setting up, configuring, and using a broad range of industry tools and technologies (example: Kubernetes, JFrog Artifactory, Snyk, GitLab, SonarQube, IDEs, security scanners, GitHub Actions)
Advanced research & analytical skills. Proven ability to conduct thorough technical investigations, analyze complex systems, source code, documentation, and market solutions. Leveraging AI tools for research when applicable
Compelling communication & visual storytelling skills. Excellent English communication (written and verbal). Ability to deliver presentations that clearly convey insights
Essential mindset. Highly curious, self-motivated, proactive. Comfortable in a dynamic, fast-paced company
Significant Advantages:
Background in deep technical QA (system architecture, performance analysis).
Knowledge or experience in the MLOps domain.
Bachelor's degree or higher in Computer Science, Software Engineering, or similar.