Principal Product Mgr
Qualys
Pune, Maharashtra, India
Contract
Competitive
OfficeSenior
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Location: Pune, India (In-Office)
Qualys (NASDAQ: QLYS) is a pioneer and leading provider of cloud-based security, compliance, and IT solutions serving over 10,000 customers worldwide, including a majority of the Forbes Global 100 and Fortune 100.
The Qualys Enterprise TruRisk Platform helps organizations continuously secure their infrastructure, applications, and cloud environments by consolidating security and compliance capabilities into a single cloud-native platform.
As AI adoption accelerates across enterprises, organizations need new capabilities to secure AI models, AI infrastructure, and AI-powered applications. To address this need, Qualys is expanding its TotalAI platform, focused on AI Security Posture Management (AI-SPM) and AI risk visibility across modern environments.
Qualys is seeking a Principal Product Manager to help lead the strategy and execution of our TotalAI (AI Security) platform.
In this role, you will drive product innovation around AI security posture management, AI workload protection, and risk visibility across AI pipelines and infrastructure. You will collaborate closely with engineering, security research, product marketing, and field teams to build capabilities that help organizations understand and secure their rapidly expanding AI footprint.
The ideal candidate has a strong background in cybersecurity product management, familiarity with cloud-native technologies, and a deep interest in AI systems, LLM platforms, and emerging AI security risks.
This role is based in Pune, India, and requires in-person collaboration with engineering and product leadership teams.
Drive product strategy and roadmap execution for key components of the TotalAI platform.
Identify opportunities to build capabilities around:
AI Security Posture Management (AI-SPM)
AI model and pipeline risk visibility
AI infrastructure and workload security
AI governance and compliance insights
Translate market needs, customer feedback, and emerging AI risks into clear product initiatives and roadmap priorities.
Collaborate with security research teams to identify new detection and protection opportunities around AI threats, model abuse, and emerging attack vectors.
Work closely with engineering teams to deliver high-quality AI security capabilities.
Define product requirements, epics, and user stories that guide development and design teams.
Ensure new features integrate seamlessly into the Qualys Enterprise TruRisk Platform.
Balance technical feasibility, market demand, and customer impact when prioritizing product initiatives.
Engage with enterprise customers to understand AI adoption patterns, security challenges, and operational needs.
Collaborate with sales and solution engineering teams to support key customer opportunities.
Analyze the competitive landscape and emerging technologies in AI security, cloud security, and AI governance.
Represent the product in customer briefings, roadmap discussions, and strategic engagements.
Work closely with:
Engineering and architecture teams
Threat research and security analytics teams
Product marketing and sales teams
UX and design teams
Support product launches, messaging, and sales enablement efforts.
Required
Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or related technical field (MBA preferred but not required).
8+ years of experience in product management, or equivalent experience in technical leadership roles such as security engineering, architecture, or pre-sales engineering.
Strong understanding of cloud security, containerized environments, and cloud-native architectures.
Familiarity with AI systems, machine learning workflows, or LLM platforms.
Experience building or managing enterprise SaaS or cybersecurity products.
Strong analytical, organizational, and communication skills.
Preferred
Experience in CNAPP, cloud security, application security, or runtime security platforms.
Familiarity with AI/ML lifecycle concepts, including model training pipelines, inference environments, and AI infrastructure.
Understanding of emerging AI threats, AI governance frameworks, and AI security best practices.
Experience working with global engineering teams in fast-paced product environments.
This is a high-impact role where you will help shape Qualys’ next generation of AI security capabilities.
If you are passionate about AI, cybersecurity, and building innovative security platforms used by the world’s largest enterprises, we would love to hear from you.