Product Management Director

Infoblox is a leader in cloud-first networking and security solutions, seeking a Product Management Director to join their Product & Strategy team. This role will focus on defining and driving the product strategy for AI-powered security systems, collaborating with various teams to address customer needs and emerging AI security risks.

Responsibilities:

• Define product strategy and roadmap for Security for AI offerings across Infoblox’s security portfolio, aligned to company vision and multi-year investment themes
• Lead discovery with customers, partners, and field teams to identify AI-related use cases (for example, model abuse, prompt injection, data exfiltration via AI tools) and prioritize solutions with clear business outcomes
• Partner with Engineering and Data Science/AI teams to design capabilities that detect and mitigate AI-driven threats using DNS, network telemetry, and threat intelligence, including targeted use of machine learning where it adds measurable value
• Create clear product requirements, user stories, and acceptance criteria for new Security for AI features and integrations (for example, LLM gateways, agentic AI security tooling, cloud security platforms)
• Evaluate and refine AI-driven detection, classification, and automation features through experimentation, A/B testing, and structured feedback loops with customers and internal users
• Define success metrics and dashboards for Security for AI offerings, including adoption, efficacy, performance, and ROI, leveraging analytics and AI-assisted insight tools to guide iteration
• Partner with Product Security, Legal, and Architecture to ensure AI-related features meet security, privacy, compliance, and responsible-AI standards
• Enable Sales, SEs, and Customer Success with compelling positioning, competitive differentiation, and field-ready content for Security for AI use cases in exposure management, Zero Trust, and SOC workflows
• Build and maintain strategic relationships with technology partners (for example, hyperscalers, AI security vendors, SIEM/SOAR/EDR platforms) to create integrated AI security solutions and joint go-to-market motions
• Represent Infoblox as a subject-matter expert for Security for AI at customer briefings, advisory boards, and industry events, translating complex AI threat concepts into clear, actionable messages

Requirements:

• 15+ years of product management experience in security, cloud, or networking platforms, including 3–5 years at Director or Senior Staff/Principal level leading cross-portfolio initiatives
• Deep cybersecurity expertise (for example, network security, threat detection, exposure management, SOC operations, cloud security), with working knowledge of DNS/DDI or adjacent infrastructure security domains
• Proven experience building or managing products that leverage AI/ML (for example, anomaly detection, classification, automation, LLM-powered workflows) or securing AI/ML systems (for example, model, data, or application layer)
• Demonstrated ability to define strategy and multi-release roadmaps in fast-evolving markets, using customer research, telemetry, and competitive/market analysis to drive prioritization
• Strong track record of end-to-end product delivery: requirements, design trade-offs, MVP definition, GTM readiness, launch, and iteration based on usage and feedback
• Exceptional collaboration and influence skills, with experience working across Engineering, Data Science/AI, Threat Intelligence, Product Security, Sales, and Alliances in a global, matrixed environment
• Clear, concise communication skills, with the ability to explain complex AI security concepts to executives, technical practitioners, and non-technical stakeholders
• Experience engaging with enterprise customers and partners, including leading roadmap sessions, collecting product feedback, and supporting strategic deals
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
• advanced degree (MS/MBA) or equivalent experience preferred
• Familiarity with modern AI/ML tooling and ecosystems (for example, LLM platforms, agentic AI frameworks, model observability tools) and with secure-by-design and responsible-AI principles