Data/ML Product Owner

The AI, Data & Research unit is at the forefront of CyberArk’s innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a seasoned and passionate Product Owner to join our group of data and ML engineers.

You will be responsible for filling the gap between the market requirements, management and the solution that determines how to implement these requirements in our data and ML frameworks. Using comprehensive business and technical knowledge, the PO accompanies the entire development process starting from the planning phase, through the development and testing process to successful release to our customers. The PO works closely with the Engineering Teams, Product Management, Analytics, Data Science, and Technical Writers.

What will you do:

• Produce valuable content for our customers
• Own the backlog - deconstruct large features to smaller pieces, define and prioritize the pieces that can compose a releasable feature
• Be the central focal point for all parties outside of the development department for: how the framework works, what the product can do, and how a certain change will affect the framework
• Analyze framework business requirements and produce a functional design
• Utilize deep knowledge of the frameworks and its use by customers to work together with the rest of R&D, explain the requirements and answer any functional questions
• Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams.

Qualifications

• 3+ years of experience as a functional analyst/product owner/product manager/product or solutions architect/lead engineer, in the software industry. Experience in writing functional designs.
• Experience with Cloud, specifically Data and ML frameworks over AWS, GCP or Azure
• At least 8 years of experience in the software industry.
• Innovator by nature. Thinking out of the box.
• Excellent communication and presentation skills.
• Proven technical skills and self-learning ability, capable of thoroughly understanding the functional and technical aspects of a complex system.
• Proven Agile experience.
• Self-motivated and goal-oriented with a high work ethic.

Additional Information

• Background in MLOps, Data Platforms, or Machine Learning workflows.
• Involved in scaling cloud-native platforms.
• Experience in information security – an advantage
• Understanding of identity & access management, secrets management, or zero-trust architecture - Bonus.