Product Owner

• Own and manage the product backlog, ensuring items are clearly defined, prioritized, and aligned with business goals and security outcomes
• Collaborate with client stakeholders, security SMEs, and internal teams to capture requirements for AI-driven security analytics, threat intelligence, and operational security platform capabilities
• Translate complex cybersecurity use cases into well-structured user stories with clear acceptance criteria and testable outcomes
• Lead sprint planning, backlog grooming, and prioritization sessions to ensure engineering teams have clarity and readiness for execution
• Drive product discovery through stakeholder interviews, workflow analysis, and validation of assumptions using data and user feedback
• Partner with engineering, data science, and UX teams to define solution approaches, trade-offs, and MVP scope for iterative delivery
• Define and track product success metrics, including adoption, workflow efficiency, detection/response improvements, and stakeholder satisfaction
• Ensure alignment across stakeholders on roadmap, scope, dependencies, and release plans, proactively managing expectations and risks
• Coordinate with QA and engineering to ensure acceptance criteria are met and releases maintain high quality, security, and performance standards
• Support go-to-production readiness by validating feature completeness, documentation needs, rollout plans, and operational handover requirements
• Monitor post-release performance and operational metrics, partnering with security stakeholders to assess detection effectiveness, workflow efficiency, and areas for iterative improvement
• Maintain product documentation, including PRDs, user journeys, release notes, and decision logs to support transparency and continuity
• Promote a strong consulting mindset by communicating clearly with client stakeholders and driving outcomes through influence and structured decision-making

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Business, or a related field
• 6–10 years of experience in product ownership or product management roles within Agile environments, including demonstrated end-to-end backlog ownership in enterprise software engagements
• Proven experience owning and prioritizing backlogs for enterprise software products, preferably in cybersecurity, security analytics, or data-driven platforms
• Strong understanding of cybersecurity concepts such as threat intelligence, security operations (SOC), detections, incident response, and operational security workflows
• Experience working with AI/ML or data science teams to deliver analytics-driven features, including comfort with model-driven workflows, data dependencies, and iterative experimentation
• Experience working with data-intensive, analytics-driven, or near-real-time systems where performance and detection latency are critical considerations
• Ability to write high-quality user stories, define acceptance criteria, and drive shared understanding across engineering, QA, and stakeholders
• Strong experience working in Agile/Scrum environments, including sprint planning, refinement, reviews, and retrospectives
• Working knowledge of product and delivery tools such as Jira, Confluence, Azure DevOps, Miro, Figma, or equivalent platforms
• Ability to use data to drive prioritization and decisions, including defining KPIs, interpreting trends, and measuring product impact
• Excellent communication and stakeholder management skills, with the ability to translate technical and security concepts into actionable product direction
• Strong ownership mindset with the ability to manage ambiguity, drive alignment, and deliver outcomes in a fast-paced client environment
• Ability to work in the Morning Shift (9 AM onwards)

CSPO/PSPO certification is preferred, and relevant cybersecurity certifications or domain training are a plus