Qualys
Director, Product Management - Agentic AI Platform & Security
Foster City, USA · Director
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About the role
- You are expected to be a subject matter expert in agentic workflows, multi-agent coordination, and large language models (LLMs), with a deep understanding of how to apply these technologies to enterprise cyber risk.
- ROCky: Our central conversational chat assistant and primary intelligent interface for the enterprise ROC.
- Autonomous Risk Agents: Our existing out-of-the-box cyber risk workforce (including Agent Val, Agent Sara, and Agent Nova ).
Responsibilities
- Grow the Business: Act as the ultimate 'Business Owner' of the Agentic AI product portfolio. Constantly evaluate how to drive revenue, justify every agent feature prioritized, and optimize cross-agent synergies.
- Business Analysis: Run regular data analysis of the agent portfolio's revenue, tracking core metrics like cross-sell, up-sell, expansion, and renewal. Build data-driven plans to improve these metrics for executive leadership.
- Pricing and Packaging: Evaluate monetization models for autonomous agents, including consumption-based pricing, premium agent tiers, and marketplace monetization models to drive customer adoption.
- Sales Enablement & Positioning: Develop strategic sales enablement collateral, target messaging, and product positioning. Train the global sales team on how to deliver value-based demonstrations of autonomous agents and multi-agent systems.
- Competitive Intelligence: Research the rapidly evolving agentic AI and security landscape. Determine how legacy platforms are positioned and develop offensive strategies demonstrating our unique agentic advantages.
- Customer Relationships: Maintain deep relationships with enterprise CISOs and security practitioners to gather continuous feedback, understand operational friction, and translate insights into hard product requirements.
- Remediation & Workflow Integration: Partner with downstream product teams (such as Patch and Autonomous RemOps) to ensure our agents can seamlessly hand off execution plans to the platform's underlying remediation fabrics.
- Prior experience building developer platforms, low-code/no-code builders (like Agent Studio), or marketplace dynamics.
Requirements
- This leader will have complete 360-degree ownership of our conversational interfaces, autonomous risk agents, and decentralized agent ecosystem, spanning both inbound and outbound product management responsibilities.
- The ideal candidate must have experience leading high-performing product teams and scaling advanced multi-agent architectures at enterprise grade.
- Executive Presence: Exceptional stakeholder management skills with the ability to influence cross-functionally and confidently engage with C-level customer executives.
- Bachelor's degree in Science, Technology, Engineering, or Math; MBA or equivalent practical experience preferred.
Skills
- Security & Automation Acumen:
Compensation
- The salary range for this position is $210,000 - $240,000 per year.
- Final compensation will be determined based on several factors, including but not limited to skills, relevant experience, and work location.
- Please note this range reflects base salary and does not include incentive compensation or potential equity grants.
- Annual Salary Guidelines
Benefits
- Please note this range reflects base salary and does not include incentive compensation or potential equity grants.
- We also offer a comprehensive and highly competitive benefits package.
Company info
- We are seeking an experienced Director of Product Management to lead our high-growth Agentic AI product portfolio, which serves as the core intelligence layer for our AI-native Risk Operations Center (ROC).
- Agent Studio & Marketplace: Our platform environments allowing customers to compose custom agents and tap into a broader ecosystem.
Equal opportunity
- Qualys is an Equal Opportunity Employer, please see our EEO policy.
- Equal Opportunity Employer, please see our EEO policy.
This listing is sourced directly from Qualys's careers page and normalized into a canonical job model.