New opportunity

Senior Principal Product Manager,MROC/MSSP

Qualys · Pune, India

About this role

Qualys is seeking a Senior Principal Product Manager to lead the managed Risk Operations Center (mROC) platform, a multi-tenant solution for MSSPs and channel partners. This high-impact individual contributor role involves driving the product roadmap, mentoring the Pune-based team, and collaborating with US-based leadership. The ideal candidate is an AI-first product leader capable of integrating agentic AI into platform workflows and translating complex cybersecurity challenges into actionable product requirements.

Responsibilities

Own the roadmap and execution for core mROC modules, including reporting, analytics, and AI-powered experiences.
Translate complex cybersecurity concepts into clear requirements, prioritization logic, and workflows.
Utilize AI tooling to accelerate requirements gathering, documentation, and prototype development.
Define requirements and prioritize sprints in collaboration with engineering and UX teams.
Drive platform-first design, including multi-tenant data models, RBAC/SSO, and workflow orchestration.
Embed agentic AI capabilities into partner and analyst experiences, such as risk queries and intelligent recommendations.
Manage integrations with tools like ServiceNow, Jira, and CMDBs.

Required Qualifications

Minimum 10 years of experience in product management or technical product roles.
Strong background in building platform or cybersecurity products with deep technical complexity.
Proficiency in at least two of the following: Vulnerability Management, Risk Prioritization, Patching, SOC/XDR/MDR, or Compliance/Threat Detection.
Proven ability to operate as a self-directed individual contributor and mentor globally distributed teams.
Strong business acumen with the ability to align product decisions with partner economics and revenue.

Preferred Qualifications

Experience with MSSP, MDR, or multi-tenant partner-facing platforms.
Experience building AI-driven capabilities such as agentic AI, copilots, or workflow automation.
Familiarity with design tools like Figma and enterprise integrations.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

Product ManagementCybersecurityVulnerability ManagementRisk PrioritizationRBVMPatchingRemediationSecurity OperationsSOCXDRMDRComplianceThreat DetectionMulti-tenant data modelsWorkflow orchestrationIdentity and Access ManagementAgentic AIAI-powered experiencesServiceNowJiraCMDBFigma

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Multi-tenant Platform Strategy
The role requires driving the roadmap for the mROC platform, which serves MSSPs and channel partners. You must prioritize scalable design, including multi-tenant data models, RBAC/SSO, and workflow orchestration, ensuring the platform meets the complex needs of diverse partner organizations.
AI-First Product Development
You are expected to lead with an AI-first mindset, utilizing AI tools to accelerate documentation and prototyping. A core priority is embedding agentic AI and intelligent recommendations into the platform to enhance analyst workflows and risk query capabilities.
Cross-Regional Leadership and Mentorship
As the Pune-based product anchor, you must mentor the local team while maintaining tight alignment with US-based leadership. This requires balancing hands-on execution with the ability to influence and coordinate delivery across a globally distributed organization.
Cybersecurity Domain Expertise
You must translate complex cybersecurity concepts—specifically in vulnerability management, risk prioritization, or SOC/MDR operations—into actionable requirements. Aligning these technical product decisions with partner economics and revenue growth is essential for the role's success.

Likely challenges to think through

Balancing Technical Complexity with Usability
The mROC platform involves deep technical complexity, such as integrating with ServiceNow, Jira, and CMDBs. The challenge is to simplify these intricate cybersecurity workflows into intuitive, high-quality user experiences for MSSP analysts without sacrificing platform power.
Managing Distributed Product Alignment
Coordinating day-to-day delivery between a Pune-based engineering team and US-based product/GTM leadership can create communication gaps. Prepare by demonstrating your experience in managing stakeholder expectations across time zones and ensuring consistent product vision.
Validating Agentic AI Utility
Integrating agentic AI into security workflows carries high expectations for reliability and accuracy. You will face the challenge of validating these AI-driven features through prototypes to ensure they provide genuine value to partners rather than just automation for its own sake.

Practice your answers

Technical practice

Designing Multi-Tenant Data Models for MSSPs

What to coverExplain how you would architect a multi-tenant data model that ensures strict data isolation between MSSP customers while maintaining high performance for cross-tenant analytics. Discuss the trade-offs between shared-database and siloed-database approaches in the context of a cybersecurity platform.

Integrating Agentic AI into Security Workflows

What to coverDescribe your approach to embedding agentic AI into a risk management platform. Focus on how you would handle trust, explainability, and human-in-the-loop requirements when AI agents perform automated risk queries or remediation recommendations.

Prioritizing Cybersecurity Product Roadmaps

What to coverGiven the complexity of Vulnerability Management and RBVM, how do you balance technical debt, new feature development, and partner-requested integrations? Provide a framework for aligning these priorities with partner economics and revenue goals.

Workflow Orchestration with Enterprise Integrations

What to coverDiscuss the challenges of integrating a security platform with external tools like ServiceNow, Jira, and CMDBs. How do you ensure robust data synchronization and workflow orchestration across these heterogeneous systems?

AI-Driven Prototyping and Requirements Gathering

What to coverThe role emphasizes an 'AI-first' approach to product management. Explain how you utilize AI tools to accelerate the creation of PRDs, user stories, and interactive prototypes to validate product direction before full-scale engineering investment.

Managing RBAC and Identity in Multi-Tenant Platforms

What to coverExplain the complexities of implementing Role-Based Access Control (RBAC) and SSO in a platform serving multiple MSSPs and their end-customers. How do you ensure granular permissions while maintaining a scalable, user-friendly experience?

Translating Cybersecurity Concepts for UX

What to coverHow do you translate complex technical concepts like threat detection or risk prioritization into intuitive dashboards and workflows? Discuss your process for collaborating with UX teams to ensure the platform remains usable for security analysts.

Scaling Analytics and Reporting for MSSPs

What to coverMSSPs require high-level visibility across their entire customer base. Describe how you would design a reporting and analytics module that provides actionable insights at scale without compromising system performance.

Behavioural practice

Mentoring Globally Distributed Teams

What to coverDescribe a situation where you had to mentor a team in a different time zone or region. How did you maintain alignment on product vision and execution quality while working across geographic boundaries?

Navigating Conflicting Stakeholder Priorities

What to coverShare an example of when you had to manage conflicting requirements between US-based leadership and local engineering teams. How did you facilitate a compromise that kept the project on track?

Driving Product Direction as an Individual Contributor

What to coverProvide an example of a time you had to influence a product roadmap or technical decision without direct authority over the engineering team. What steps did you take to build consensus and drive the outcome?

Adapting to Rapidly Changing Cybersecurity Landscapes

What to coverDescribe a time when a shift in the threat landscape or a new security vulnerability forced you to pivot your product roadmap. How did you communicate this change to stakeholders and manage the impact on existing sprints?

Sharpen your knowledge

Topics to prepare

Multi-tenant Platform Architecture
Review the conceptual challenges of building multi-tenant SaaS platforms, specifically focusing on data isolation, RBAC/SSO implementation, and scalable workflow orchestration. Exercise: Map out how a single platform instance can support distinct MSSP partner environments while maintaining data security and customized reporting.
Agentic AI in Cybersecurity Workflows
Understand the distinction between generative AI and agentic AI, specifically how autonomous agents can perform risk queries or remediation recommendations. Exercise: Draft a product requirements document (PRD) for an AI agent that automates the triage of vulnerability data from a CMDB to reduce analyst workload.
MSSP Business Economics
Analyze the business model of Managed Security Service Providers (MSSPs) and how platform features impact their revenue, churn, and operational efficiency. Exercise: Create a prioritization framework that evaluates product features based on their ability to drive partner adoption and reduce the cost of service delivery.

Skills to revise

AI-Assisted Product Documentation
Demonstrate proficiency in using LLMs to accelerate the creation of user stories, acceptance criteria, and technical documentation. Exercise: Use an AI tool to generate a set of detailed acceptance criteria for a complex integration feature, then manually refine them for technical accuracy and edge-case coverage.
Prototyping with Figma
Develop the ability to create low-fidelity prototypes to validate product direction with stakeholders and engineering teams. Exercise: Build a simple interactive wireframe in Figma representing a dashboard for an MSSP analyst that displays prioritized risk data and automated remediation suggestions.
Enterprise Integration Mapping
Gain hands-on familiarity with integrating security platforms with enterprise tools like ServiceNow and Jira. Exercise: Design a workflow diagram showing how a vulnerability detected in a security platform triggers an automated ticket creation in ServiceNow and subsequent status updates in Jira.

Your preparation checklist

Develop a multi-tenant platform strategy
Prepare a brief case study or framework demonstrating how you have managed complex, multi-tenant data models, RBAC, and SSO in a SaaS environment. Focus on how you balance platform-wide scalability with the specific customization needs of MSSP or channel partners.
Demonstrate AI-first product methodology
Prepare examples of how you have utilized AI tools to accelerate the product lifecycle. This should include evidence of using AI for drafting technical requirements, generating documentation, or creating interactive prototypes to validate product direction with stakeholders.
Map cybersecurity workflows to agentic AI
Create a conceptual workflow showing how agentic AI or intelligent recommendations can be embedded into a SOC or vulnerability management platform. Explain how you would prioritize these features to drive partner adoption and revenue.
Prepare for cross-regional leadership discussions
Reflect on your experience mentoring distributed teams and collaborating with US-based leadership. Be ready to discuss your approach to serving as a local product anchor in Pune while maintaining alignment with global GTM and engineering goals.
Formulate strategic questions for the interview
Prepare thoughtful questions regarding the current integration roadmap for ServiceNow and Jira, the specific challenges MSSP partners face with existing risk reporting, and how the team currently balances technical debt with the push for agentic AI innovation.

Availability last checked: 18 Oct 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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