Product Manager, Device Intelligence

Product Manager, Device Intelligence

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Own the product roadmap for cutting-edge Device Intelligence and drive innovative AI integrations.
  • Company: Join CUJO AI, a leader in AI-powered technology for global network service providers.
  • Benefits: Enjoy flexible work options, performance bonuses, and continuous learning opportunities.
  • Other info: Collaborative culture with strong career growth potential and exciting team events.
  • Why this job: Make a real impact on technology that protects millions of homes worldwide.
  • Qualifications: Experience in product management, especially in networking or cybersecurity, is essential.

The predicted salary is between 63000 - 77000 £ per year.

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, m DNS, 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, Io T 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 Io T.
  • 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 Io T protocol literacy: Wi-Fi 802.11ax/be (Wi-Fi 6/6E/7), MLO, Matter, Thread, DHCP, m DNS, 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 wait 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 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 .

Are you the ONE? Let us know!

#J-18808-Ljbffr

Product Manager, Device Intelligence employer: CUJO

CUJO AI is an exceptional employer that champions innovation and collaboration, offering a flexible work environment with hybrid or fully remote options. Employees benefit from ambitious projects in AI technology, continuous learning opportunities, and performance bonuses, all while contributing to making the internet safer for millions globally. With a strong focus on employee growth and team gatherings, CUJO AI fosters a supportive culture that values each individual's contributions.

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Contact Details:

CUJO Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Manager, Device Intelligence

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like CUJO!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at CUJO would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at CUJO through your school's career services!

We think you need these skills to ace Product Manager, Device Intelligence

Product Management
Technical B2B Software Experience
Device Intelligence
AI/ML Systems Definition
Networking Protocol Literacy
Data Analysis
Agile/Scrum Methodologies

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like Product Manager, Device Intelligence, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager, Device Intelligence position at CUJO. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at CUJO

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.