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- Tasks: Lead the product roadmap for cutting-edge Device Intelligence solutions.
- Company: Join CUJO AI, a leader in AI solutions for safer internet connections.
- Benefits: Enjoy flexible work options, performance bonuses, and career growth opportunities.
- Other info: Collaborative culture with annual team gatherings and continuous learning.
- Why this job: Make a real impact on AI technology that protects millions of homes worldwide.
- Qualifications: Experience in product management and a passion for AI and networking technologies.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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.
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.
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.
Product Manager, Device Intelligence in London employer: CUJO AI
Contact Detail:
CUJO AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager, Device Intelligence in London
✨Tip Number 1
Network, network, network! Reach out to people in the industry, especially those who work at CUJO AI or similar companies. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by understanding the company’s products and their market position. Dive deep into CUJO AI’s Device Intelligence offerings and think about how you can contribute to their success.
✨Tip Number 3
Showcase your passion for AI and networking technologies during interviews. Share your insights on emerging trends and how they could impact CUJO AI’s roadmap — it’ll show you’re not just a candidate, but a potential game-changer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the CUJO AI team.
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 show how your skills align with our needs at CUJO AI.
Showcase Your Technical Know-How: We love candidates who can demonstrate a solid understanding of device intelligence and networking technologies. Include specific examples of your work with AI/ML systems or relevant protocols to really stand out!
Be Data-Driven: Since we value a data-driven mindset, share instances where you've used data analysis to inform product decisions. This will show us that you can ground your choices in evidence and customer feedback.
Apply Through Our Website: Don’t forget to submit your application through our recruitment portal! It’s the best way for us to receive your details and get the ball rolling on your journey with CUJO AI.
How to prepare for a job interview at CUJO AI
✨Know Your Product Inside Out
Before the interview, dive deep into CUJO AI’s Device Intelligence offerings. Understand the product roadmap, key features, and how they integrate AI and LLM capabilities. This will help you articulate your vision and demonstrate your genuine interest in the role.
✨Showcase Your Technical Knowledge
Be prepared to discuss technical concepts related to device intelligence, networking protocols, and AI/ML systems. Brush up on relevant standards like Wi-Fi 7 and IoT protocols. This will show that you can effectively communicate with engineering teams and understand the complexities of the product.
✨Prepare for Customer-Centric Questions
As the voice of the customer, you’ll need to demonstrate how you can translate customer feedback into actionable product improvements. Think of examples from your past experience where you successfully synthesised customer insights into product strategies.
✨Emphasise Collaboration Skills
Highlight your experience working cross-functionally with engineering, sales, and customer success teams. Be ready to share specific instances where you resolved conflicts or facilitated communication between teams to achieve a common goal.