Product Manager, Device Intelligence

CUJO AI® is a leader in artificial intelligence solutions for network service providers. We use machine learning and real‑world data to develop cybersecurity, device intelligence, network intelligence, and parental control solutions that make internet connections safer for millions of homes.

About the Role

We are looking for a Product Manager, Device Intelligence to join our Product team. In this role, you will own the product roadmap and delivery for CUJO AI’s Device Intelligence (DI) product line — one of our core offerings for tier‑1 Network Service Providers (NSPs) worldwide. You will act as the voice of the customer, translating market needs, competitive insights, and data‑driven analysis into a clear product vision and actionable priorities for engineering teams. You will also champion the integration of AI and LLM‑based capabilities to continuously raise the quality, coverage, and automation of device intelligence systems — working at the intersection of cutting‑edge networking technology and practical product delivery.

Location

This position is remote‑friendly. While we ideally seek to fill the role in the UK, candidates based in other European countries will also be considered.

In This Role, You Will

• Product Planning & Roadmap Ownership: 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.
• Feature Definition & Technical Requirements: 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. Evaluate and define requirements for emerging networking standards relevant to device identification (Wi‑Fi 7/MLO, Matter/Thread, mDNS, DHCP, HTTP User‑Agent). Act as the product contact for Device Intelligence for strategic Tier‑1 NSP accounts, leading product reviews, roadmap and requirements alignment. Synthesize customer feedback and field data into actionable product improvements and updated feature priorities. Support Sales and Customer Success with competitive positioning, value proposition materials, and solution design for new accounts. Organize structured competitive analyses, benchmarking CUJO AI’s capabilities against market alternatives on accuracy, feature breadth, and commercial positioning. Monitor market trends, customer technology migrations (e.g. Wi‑Fi 7, IoT protocol adoption), and evolving NSP requirements to keep the roadmap forward‑looking.
• Customer Engagement & Stakeholder Management: Act as the product contact for Device Intelligence for strategic Tier‑1 NSP accounts, leading product reviews, roadmap and requirements alignment. Synthesize customer feedback and field data into actionable product improvements and updated feature priorities. Support Sales and Customer Success with competitive positioning, value proposition materials, and solution design for new accounts.
• Competitive Intelligence & Market Research: Organize structured competitive analyses, benchmarking CUJO AI’s capabilities against market alternatives on accuracy, feature breadth, and commercial positioning. Monitor market trends, customer technology migrations (e.g. Wi‑Fi 7, IoT protocol adoption), and evolving NSP requirements to keep the roadmap forward‑looking.
• Cross‑functional Collaboration & Agile Delivery: Lead backlog grooming, sprint planning, and retrospectives, ensuring engineering teams have well‑defined and prioritized work at all times. Actively resolve impediments impacting release or sprint goals; escalate blockers promptly with proposed mitigations. Maintain accurate product documentation — including quarterly plans, decision logs, and feature specifications.

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).

What Will Make You Stand Out

• A genuine curiosity about AI/ML and emerging networking technologies — you actively explore what’s next rather than waiting for direction.
• Data‑driven mindset: you ground decisions in evidence and customer feedback, not assumption.
• You take full ownership of outcomes and follow through — getting your hands dirty when needed.
• Detail‑oriented: you write precise requirements, track risks carefully, and ensure nothing falls through the cracks.
• Calm under pressure — you stay constructive and solution‑focused when facing competing priorities or escalations.
• A collaborative team player who fosters strong relationships across product, engineering, delivery, and customer teams.
• Experience in working in a similar field and working with Device and/or Traffic identification products.

Why Join CUJO AI?

• 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.

At CUJO AI, we value innovation, collaboration, and continuous improvement. Join us and work on technology that makes the internet safer!

Apply by May 3, 2026 – but don’t wait! We’ll hire as soon as we find the right person. Apply via our recruitment portal. Questions? Email us at careers@cujo.com.