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Product Manager, Device Intelligence

Job in Barry, Vale of Glamorgan, CF62, Wales, UK
Listing for: CUJO
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Analyst, Product Designer, AI Engineer, Cybersecurity
Job Description & How to Apply Below

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 labeling 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.
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; expedite blockers with proposed mitigations.
  • Maintain accurate product documentation — including quarterly plans, decision logs, and feature specifications.
Requirements

What We’re Looking For:
  • 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 labeling, 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…
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