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- Tasks: Own the product roadmap for cutting-edge Device Intelligence technology and drive innovative projects.
- 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 and a solid understanding of networking and AI/ML systems.
The predicted salary is between 60000 - 80000 £ 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, 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 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.
Are you the ONE? Let us know!
Product Manager, Device Intelligence in London employer: CUJO
Contact Detail:
CUJO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager, Device Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their Device Intelligence offerings and think about how your skills align with their needs. This will help you stand out as a candidate who truly gets what they do.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience in product management and understanding of AI/ML can benefit CUJO AI. A confident and clear presentation of your skills can make all the difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at CUJO AI.
We think you need these skills to ace Product Manager, Device Intelligence in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Product Manager role. Highlight your experience in product management, especially in technical B2B software, and showcase how your skills align with our needs at CUJO AI.
Showcase Your Technical Know-How: We love candidates who can speak the language of device intelligence and networking. Don’t shy away from mentioning your familiarity with protocols like Wi-Fi 7 or your experience with AI/ML systems. It’ll definitely make you stand out!
Be Data-Driven: Since we value a data-driven mindset, include examples of how you've used data analysis to inform product decisions in the past. This will show us that you can ground your decisions in evidence, just like we do at CUJO AI.
Apply Through Our Website: We encourage you to apply directly through our recruitment portal. It’s the best way to ensure your application gets into the right hands. Plus, if you have any questions, feel free to drop us an email!
How to prepare for a job interview at CUJO
✨Know Your Product Inside Out
Before the interview, dive deep into CUJO AI’s Device Intelligence product line. Understand its features, benefits, and how it stands out in the market. This will help you articulate your vision and show that you're genuinely interested in the role.
✨Prepare for Technical Questions
Brush up on your knowledge of networking protocols and device intelligence concepts. Be ready to discuss AI/ML systems and how they can enhance product workflows. Demonstrating your technical expertise will set you apart from other candidates.
✨Showcase Your Data-Driven Mindset
Be prepared to discuss how you've used data analysis in previous roles. Bring examples of how you've interpreted KPIs or customer feedback to drive product decisions. This will highlight your ability to ground decisions in evidence, which is crucial for this position.
✨Demonstrate Collaboration Skills
Since this role involves cross-functional collaboration, think of examples where you've successfully worked with engineering teams or other departments. Highlight your communication skills and how you’ve resolved conflicts or impediments in past projects.