Senior Product Manager, Security Research
Summary
The Senior Product Manager for Security Research will lead the strategic roadmap and solution design for security products by leveraging data analytics and deep threat landscape expertise. The role involves collaborating with engineering and sales teams to translate technical security insights into scalable product features.
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Key Responsibilities
Strategic Roadmap & Data-Driven Prioritization
Utilize your hands-on fluency in data analytics (Salesforce, Jira, SQL) to analyze feature impact and prioritize the roadmap based on empirical evidence rather than opinion.
Manage the delicate balance of adding/removing roadmap items through collaboration with Engineering, Marketing, and Product leadership. Transform high-level vision into precise technical requirements and prioritized backlogs.
Collaborate with PMM and Sales to ensure features provide a competitive advantage and are positioned correctly in the market.
Customer Discovery & Solution Design
Lead discovery sessions to identify root pain points. Move beyond solving single-customer issues to designing scalable solutions that benefit the entire user base.
Manage incoming requests and new cases with a systematic approach to review, validation, and communication with stakeholders.
Serve as a technical resource by writing impactful blog posts, leading webinars, and defining best practices that help organizations reduce risk, independent of specific product features.
Empower the Sales team and Strategic Accounts with compelling product pitches, demos, and deep-dive explanations of complex security capabilities.
Required Skills
Minimum 5 years in Product Management
Minimum 3 years specifically in Cybersecurity (VM, EDR, or Threat Intel).
Min 8 yrs years in technical leadership/security engineering with a pivot to Product.
Deep understanding of the threat landscape (Zero-days, CVEs, Exploits). You are familiar with the distinction between a CVE and an exploit and understand how SOC/IT teams function.
Bachelor’s degree in computer science, Engineering, or related field (MBA is a plus).
Proficiency in Python and SQL (or similar scripting languages) is required.
Working fluency with AI/LLM tools (e.g., Claude Code, ChatGPT, Copilot) for daily workflows — using them to accelerate analysis, prototyping, and documentation.
Exceptional ability to communicate across multiple time zones and effectively engage stakeholders from field sales to executive leadership.
Preferred Skills :
Researcher-to-Product Transition: We highly prefer candidates with a background in Threat Research who are looking to pivot into Product Management while leveraging their deep security expertise.
Domain Expertise: Strong background in Vulnerability Management (VM), Exposure Management, or Risk Management.