Product Manager, Device Intelligence

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take ownership of the Device Intelligence product roadmap and lead quarterly planning, effectively setting and sharing priorities across our strategic themes.

• Establish and maintain a prioritized product backlog utilizing clear priority frameworks that align with business value, customer KPIs, and engineering capabilities.

• Spearhead initiative definition through organized discovery cycles, identifying opportunities and advancing items from research to design and implementation.

• Participate in release planning and establish delivery expectations in collaboration with engineering and delivery leads across sprint and quarterly cycles.

• Create comprehensive product requirements documents (PRDs), feature specifications, and acceptance criteria for Device Intelligence capabilities.

• Act as the product owner for multiple engineering teams (Cloud, Firmware, Research, QA), providing guidance and resolving blockers to ensure successful delivery.

• Define and validate workflows that are enhanced by LLM and AI, including automated feature extraction pipelines and data labeling tools.

• Conduct thorough competitive analyses, benchmarking CUJO AI's capabilities against market alternatives in terms of accuracy, feature breadth, and commercial positioning.

⛳️ Requirements

• Proven experience in product management for a technical B2B software product, preferably in the fields of networking, cybersecurity, or IoT.

• Strong understanding of device intelligence or related areas, such as device fingerprinting, network traffic analysis, or protocol-level identification.

• Competence in defining product requirements for AI/ML systems, including workflows assisted by LLM, clustering algorithms, automated labeling, and model lifecycle management.

• Familiarity with networking and IoT protocols: Wi-Fi 802.11ax/be (Wi-Fi 6/6E/7), MLO, Matter, Thread, DHCP, mDNS, and HTTP User-Agent.

• Proficient in data analysis: capable of interpreting KPI dashboards, querying device intelligence datasets, and extracting actionable insights from quantitative data.

• Extensive knowledge of Agile/Scrum methodologies, quarterly planning frameworks, and backlog management practices.

• Excellent communication and presentation skills, able to convey complex technical concepts to both engineering teams and senior business stakeholders.

• Experience with product and collaboration tools, such as Jira and Confluence.

• Proficient in English, both spoken and written.

🏝️ Benefits

• Flexible Work – Options for hybrid or fully remote work based on your location.

• Ambitious Projects – Engage in AI-driven technology that safeguards millions of homes worldwide.

• Career Growth – Access to training bonuses and ongoing learning opportunities.

• Performance Bonuses – Participate in a company-wide annual bonus program.

• Referral Rewards – Receive up to €1,000 for referring new hires.

• Team Gatherings – Join annual company events and team activities.