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In this role, you will be responsible for translating strategic product direction into well-defined, prioritised delivery outcomes. You will work closely with engineering, data science, design, and commercial stakeholders to ensure that products are built with a deep understanding of the security problem space, modern technology constraints, and real customer needs.
This role suits someone who is comfortable operating across AI, data-driven security platforms, and enterprise software, and who can confidently balance technical depth with strong product execution.
Requirements
- Own and manage the product backlog, ensuring clear prioritisation aligned to product strategy and customer value
- Translate cybersecurity and AI-driven requirements from the Product Manager into structured user stories, epics, and acceptance criteria
- Partner closely with Product management, engineering and data teams to support sprint planning, refinement, and delivery
- Contribute to product roadmap planning across AI-based detection, threat intelligence, analytics, and security platform capabilities
- Engage with customers, partners, and internal stakeholders to validate requirements and gather continuous feedback
- Ensure delivered functionality meets expectations for scalability, performance, security, and usability. Conduct user acceptance testing and QA t ensure that features meet specifications and quality standards
- Support go-to-market activities by contributing to feature definition, positioning, and customer demonstrations where required
- Act as a key interface between technical teams and the wider business, ensuring alignment and clarity throughout the delivery lifecycle
- Work closely with Product manager on post go-live performance reviews to ensure accelerated resolution of issues, and feedback into design teams Essential:
- Proven experience as a Product Owner or Product Manager working on cybersecurity or security-adjacent technology products
- Experience in agile/scrum environments with engineering teams
- Strong understanding of the cybersecurity landscape, including areas such as; Threat intelligence and intelligence-led security; Security analytics and data-driven detection; Cloud and platform security concepts; AI and machine learning applications within security products
- Experience working with engineering teams delivering complex, data-intensive or platform-based products
- Ability to translate high-level security problems into well-defined, deliverable us4r stories and acceptance criteria for technical features
- Strong communication skills and exceptional organization skills
- Customer focused with a mindset to translate customer pain points into product requirements
- Experience building or scaling AI-enabled products
- Familiarity with real-time or near-real-time data processing pipelines
- Exposure to enterprise security buyers and users across regulated industries
- Experience working in fast-growing technology companies or product-led organisations
Key Skills
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