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Director of Product Management – Agentic AI Platform & Security
Location: Foster City, California (Min 3 days mandatory in office)
Organization: Product GTM & SME
Reports To: VP of Product Management
The Position
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). 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. 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.
Working cross-functionally with Engineering, Data Science, AI, Design, and Go-To-Market teams, you will deliver the category-defining platform that enables enterprises to interact with, compose, and deploy autonomous security workflows at scale.
What You Will Be Doing
1. Product Portfolio Ownership
- 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).
- Agent Studio & Marketplace: Our platform environments allowing customers to compose custom agents and tap into a broader ecosystem.
2. Business Ownership and 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.
- Product-Led Growth (PLG): Architect innovative PLG and Product-Led Sales (PLS) motions specific to AI software. Design digital discovery and sandbox experiences that let users build trial agents in Agent Studio and seamlessly convert to paid tiers.
3. Outbound Product Management Responsibilities
- 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.
4. Inbound Product Management Responsibilities
- Autonomous Multi-Agent Orchestration: Define product requirements for multi-agent coordination, agent-to-agent communication protocols, and dynamic sub-agent composition (how agents like Val, Sara, and Nova collaborate to orchestrate risk remediation).
- Explainable AI & Guardrails: Design the framework for how ROCky securely delegates sub-tasks to downstream agents while maintaining strict validation checkpoints and transparent, explainable chain-of-thought processing.
- 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.
What We Need from You
- Proven Track Record: 8+ years of product management experience, or 6+ years of technical leadership/solution architecture experience, with a heavy emphasis on scaling AI/ML products, LLM applications, or autonomous frameworks.
- Advanced AI Architecture Experience: Practical product experience working with multi-agent frameworks, deep understanding of agentic memory layers, and experience solving the real-world latency, alignment, and cost challenges of complex sub-agent coordination loops.
- Security & Automation Acumen: A solid foundational understanding of enterprise cybersecurity, vulnerability management, SOC/ROC dynamics, or workflow automation platforms.
- Platform & Ecosystem Experience: Prior experience building developer platforms, low-code/no-code builders (like Agent Studio), or marketplace dynamics.
- GTM & Business Expertise: Strong data-driven decision-making skills balancing technical feasibility with clear business impacts, pricing strategies, and pipeline generation.
- Executive Presence: Exceptional stakeholder management skills with the ability to influence cross-functionally and confidently engage with C-level customer executives.
- Education: Bachelor’s degree in Science, Technology, Engineering, or Math; MBA or equivalent practical experience preferred.
Annual Salary Guidelines
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. We also offer a comprehensive and highly competitive benefits package.
Qualys is an Equal Opportunity Employer, please see our EEO policy.