Product Manager

A highly successful Israeli Cybersecurity startup is a global leader in protecting the Connected Car ecosystem. Partnering with the world’s largest automotive manufacturers, the company develops sophisticated security and data solutions that ensure the safety and integrity of modern vehicles.

Backed by substantial investment rounds and maintaining a global team of approximately 130 professionals, the organization is scaling its AI-driven B2B Data Platform to redefine how automotive intelligence is processed and secured.

The company is located in Central Israel (prime high-tech district with excellent train access) and operates a hybrid work model with two days remote flexibility.

Role Overview:

• Product Strategy & Ownership: Leading the product lifecycle for a complex AI-based B2B Data Platform tailored for the global automotive industry.
• Big Data & Real-Time Analytics: Managing sophisticated products that rely on real-time processing and massive datasets to deliver actionable security insights.
• AI-Driven Innovation: Designing and developing data management capabilities and AI-driven features to enhance vehicle connectivity and protection.
• SaaS Delivery: Architecting the product roadmap within a SaaS environment, ensuring scalability and seamless integration with manufacturer infrastructures.
• UX/UI Excellence: Applying strong intuition for user experience and design aesthetics to ensure complex data is accessible and intuitive for enterprise users.
• Technical Collaboration: Partnering closely with R&D teams to translate complex software requirements into high-impact product features.

Requirements:

• B.Sc. in a relevant technical or academic field – Mandatory.
• 5+ years of experience in Product Management, including at least 3 years as a Senior PM – Mandatory.
• Proven track record as a B2B Product Manager, specifically within SaaS environments – Mandatory.
• Expertise in Big Data & Analytics: Deep experience managing products based on real-time data processing and analytics infrastructures – Mandatory.
• Technical Foundation: Solid background in software development for complex, large-scale systems.
• AI/ML Proficiency: Practical experience managing data-driven platforms and AI-powered solutions.
• Communication: Exceptional verbal and written communication skills in English.