This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He’ll make sure you are considered for this role, and help you find others if you ask. Product Manager Company Description: Cyb3roperations.com – Seed-funded Third-Party Risk Intelligence Platform Job Description: Cyb3r Operations is seeking a Product Manager to own the end-to-end product strategy for its Third-Party Intelligence Platform. This senior, hands-on role involves partnering with Engineering, Intelligence, and Client Engagement teams to define, build, and deliver value, driving platform maturity and customer impact as the company prepares for Series A. Location: London, UK Why this role is remarkable: Shape one of Europe’s most impactful third-party risk intelligence platforms, providing real-time visibility into critical supply-chain and cyber risks. Own product strategy at a pivotal Seed-stage company, directly influencing platform maturity and deeper integrations ahead of Series A funding. Work directly with the CEO, Director of Engineering, and Director of Client Engagement in a high-autonomy role with significant influence over product direction and company culture. What you will do: Define product strategy, vision, and multi-quarter roadmap for the Third-Party Intelligence Platform, aligning with CEO priorities and market needs. Engage with CISOs, CFOs, and procurement teams to uncover high-value needs and translate complex intelligence concepts into clear product requirements. Lead product strategy across AI-powered enrichment, risk scoring, and intelligence summarisation, ensuring seamless integration of domain expertise. The ideal candidate: 6–10+ years in B2B SaaS product management, with a strong background in cybersecurity, threat intelligence, or third-party risk management. Proven success working closely with engineering teams in fast-moving, early-stage environments (Seed → Series A), driving high-quality delivery. Comfortable in deeply technical environments, discussing APIs, data models, ML-powered features, and simplifying complex intelligence concepts for diverse audiences. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions. Step 5. If the hiring manager would like to meet you, Jack will make the introduction.