Product Manager

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

We are looking for an exceptional and passionate Product Manager to join a team of Product Managers working together on a large, complex product.

Your impact

• Own the product vision, strategy, roadmap, and backlog for the product domain, balancing customer needs, technical feasibility, and business priorities
• Lead the product lifecycle end-to-end, from discovery and requirements definition through development, launch, and continuous iteration, in close collaboration with R&D and UX
• Work hands-on with Data Scientists and Researchers to define AI-driven capabilities, frame problems, set success criteria, and translate research into scalable, production-grade product features
• Engage directly with customers and support sales and presales activities by presenting the product, validating concepts, gathering feedback, and providing strong domain and product expertise
• Representing the product domain internally and externally, collaborating with other Product Managers to ensure alignment across domains, shared product flows, and clear communication of vision, priorities, and tradeoffs.

Your toolbox

• 5+ years of experience as a Product Manager in a B2B or B2G software environment
• Strong technical background, with the ability to understand complex systems, data flows, and architectural tradeoffs
• Strong technical background with the ability to understand complex systems, data flows, architectural tradeoffs, and work effectively with R&D and Data Science teams in technically complex, research-heavy domains
• Solid understanding of product management methodologies, agile development, and requirement definition
• Hands-on experience with AI-powered tools for product discovery, analysis, experimentation, documentation, and rapid prototyping (e.g., UX flows, mockups, concept demos) to accelerate learning and validation
• Excellent communication and presentation skills in English
• Knowledge or hands-on experience in IP traffic analysis, network protocols, or communication data – big advantage
• Background in Cyber Intelligence, intelligence analysis, or cyber operations – big advantage
• The role entails traveling abroad.