What You Will Be Doing:
- Define and drive the vision, strategy, and roadmap for Threat Detection and Response capabilities that deliver exceptional user experiences and measurable customer value
- Partner with customers, security teams, and internal stakeholders to translate user feedback, security use cases, and operational requirements into actionable product enhancements
- Serve as the voice of the customer across the organization, ensuring security practitioners' needs shape product decisions at every stage
- Own a data-driven product roadmap that balances customer impact, competitive differentiation, and technical feasibility
- Lead feature prioritization through rigorous analysis of customer feedback, usage metrics, and market positioning
- Drive features through the complete product lifecycle: from discovery and requirements definition to engineering delivery and customer adoption
- Develop comprehensive product requirements that align with engineering, design, and go-to-market teams
- Collaborate with Product Marketing and Field teams to develop compelling positioning, messaging, and launch strategies
- Create high-impact sales enablement content, including technical whitepapers, customer-facing presentations, product demos, and thought leadership blog posts that articulate SecOps message and value proposition
What You Bring:
- 5+ years of product management experience in cybersecurity or security operations, with demonstrated success shipping enterprise security products from concept to customer adoption
- Deep expertise in security operations technologies, including SIEM, SOAR, XDR, and Threat Intelligence platforms.
- Proven experience managing B2B SaaS products in complex, multi-stakeholder enterprise environments with long sales cycles
- Exceptional written and verbal communication skills with a track record of building trust with customers, executives, and cross-functional teams through clear, compelling storytelling
- Data-driven decision maker who leverages analytics, user research, and competitive intelligence to validate hypotheses and prioritize high-impact features
- Bachelor's degree in Computer Science, Engineering, or related technical field required; MBA or advanced degree preferred