Director Platform Product Owner at CUJO AI leading product lifecycle in AI-powered technology for cybersecurity. Translating business requirements into actionable development plans and ensuring smooth execution.
Responsibilities
Own and manage the product backlog: Break down large features into manageable components, prioritize them, and ensure alignment with business goals.
Engage directly with customers to understand their platform product requirements and translate insights into backlog priorities.
Act as the go-to expert for internal teams on product functionality, capabilities, and the impact of proposed changes.
Collaborate closely with R&D teams to clarify requirements, provide context, and support development and QA efforts.
Refine and validate business requirements for the Platform teams and other Cujo Products.
Continuously assess backlog value to ensure prioritization aligns with customer and business needs.
Define release content through discovery and grooming sessions with stakeholders and other product owners.
Ensure timely delivery of product increments in collaboration with stakeholders and development teams.
Align with product leadership to understand strategic priorities and translate them into actionable plans.
Drive execution in agile environments, ensuring smooth coordination across teams.
Requirements
10+ years of experience in a Product Owner, Product Manager, Solutions Architect, or Lead Engineer role within the ISP industry.
Strong technical acumen with the ability to understand complex systems and business logic.
Proven experience working in Agile environments.
Excellent communication, collaboration, and presentation skills.
Analytical mindset with the ability to balance detail orientation with big-picture thinking.
Proactive, self-driven, and highly organized.
Ability to prioritize effectively in a fast-paced, dynamic environment.
Hands-on experience with Network Service Providers (NSPs) and a solid understanding of how they operate, including networking or wireless communications.
Familiarity with machine learning algorithms in cloud environments.
Background in cloud infrastructure, ML, or networking technologies.
Track record of delivering large-scale, cross-departmental software projects in enterprise settings.
Benefits
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.
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