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QQ
Senior Product Manager, Security Research
QLYS_IN Qualys Security TechServices Private Ltd. · Pune, India
About The Role
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.
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