Product Manager, Device Intelligence

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CUJO AI®

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

🔒 Cybersecurity

📡 Telecommunications

🤖 Artificial Intelligence

Cybersecurity • Telecommunications • Artificial Intelligence

CUJO AI® is a provider of AI-driven network intelligence and cybersecurity solutions for network service providers and ISPs. It transforms raw network data into real-time, actionable insights for device, application, and network intelligence, delivering cloud-native protection, personalized user experiences, threat blocking, and analytics to help operators unlock new revenue streams, improve operations, and engage subscribers at scale.

📋 Description

• Own the Device Intelligence product roadmap and drive quarterly planning, setting and communicating priorities across our strategic themes. • Define and maintain a prioritized product backlog with clear priority frameworks aligned to business value, customer KPIs, and engineering capacity. • Lead initiative definition through structured discovery cycles — scoping opportunities and progressing items from research through design to implementation. • Contribute to release planning and set delivery expectations across sprint and quarterly cadences with engineering and delivery leads. • Author detailed product requirements documents (PRDs), feature specifications, and acceptance criteria for DI capabilities. • Serve as product owner across multiple engineering teams (Cloud, Firmware, Research, QA), providing direction and removing blockers to delivery. • Define and validate LLM-assisted and AI-augmented product workflows, including automated feature extraction pipelines and data labelling tooling. • Organize structured competitive analyses, benchmarking CUJO AI’s capabilities against market alternatives on accuracy, feature breadth, and commercial positioning.

🎯 Requirements

• Experience in product management for a technical B2B software product, ideally in networking, cybersecurity, or IoT. • Solid understanding of device intelligence or related domain: device fingerprinting, network traffic analysis, or protocol-level identification. • Ability to define product requirements for AI/ML systems, including LLM-assisted workflows, clustering algorithms, automated labelling, and model lifecycle management. • Networking and IoT protocol literacy: Wi-Fi 802.11ax/be (Wi-Fi 6/6E/7), MLO, Matter, Thread, DHCP, mDNS, HTTP User-Agent. • Data analysis skills: able to interpret KPI dashboards, query device intelligence datasets, and draw actionable insights from quantitative data. • In-depth knowledge of Agile/Scrum methodologies, quarterly planning frameworks, and backlog management. • Strong communication and presentation skills — able to articulate complex technical concepts to both engineering teams and senior business stakeholders. • Proficiency with product and collaboration tools such as Jira and Confluence. • Fluency in English (spoken and written).

🏖️ Benefits

• Flexible Work – Hybrid or fully remote options based on your location. • Ambitious Projects – Work on AI-powered technology that protects millions of homes globally. • Career Growth – Training bonuses and continuous learning opportunities. • Performance Bonuses – Company-wide annual bonus program. • Referral Rewards – Earn up to €1,000 for referring new hires. • Team Gatherings – Annual company events and team activities.