Remote - Principal Product Manager, AI

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Requirements:

• Minimum of 8 years of experience in product management with a proven track record of delivering successful products, or equivalent experience in cybersecurity with security operations.
• Strong understanding of the current security markets, technology trends, and the competitive landscape.
• In-depth knowledge of the unique challenges facing the modern Chief Information Security Officer (CISO).
• Strong understanding of AI and ML technologies and their application in cybersecurity.
• Proven ability to lead and motivate cross-functional teams, driving projects from concept to successful market delivery.
• Experience leading product discovery efforts to frame, develop, and validate early stage product ideas using rapid prototyping and 'lean startup' style experimentation.
• Passion for understanding and solving customer problems, with a focus on delivering exceptional user experiences.
• Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.

Responsibilities:

• Define and communicate the product vision, strategy, and roadmap.
• Conduct market research and competitive analysis to identify opportunities and threats.
• Prioritize features and initiatives based on business and customer impact.
• Work closely with engineering and design teams to develop and deliver high-quality products.
• Create and manage epic level requirements and assist in story development needed for engineering teams to deliver to your acceptance criteria.
• Manage the product lifecycle from concept through launch and beyond, ensuring timely delivery.
• Collaborate with stakeholders across the organization to align on product goals and priorities.
• Communicate product plans, progress, and outcomes to senior leadership and other key stakeholders.
• Gather and analyze customer feedback to inform product decisions.
• Work with customer support and sales teams to understand customer needs and pain points.
• Ensure the product delivers a compelling user experience and meets customer expectations.
• Define and monitor key product metrics to measure success and drive continuous improvement.
• Use data-driven insights to iterate and enhance the product.