other
Posted 15 hours agoDirector, Product Management - Agentic AI Platform & Security
at Qualys
On-site
Responsibilities
- Build data-driven plans to improve these metrics for executive leadership.
- Design digital discovery and sandbox experiences that let users build trial agents in Agent Studio and seamlessly convert to paid tiers. 3.
- Train the global sales team on how to deliver value-based demonstrations of autonomous agents and multi-agent systems.
- Determine how legacy platforms are positioned and develop offensive strategies demonstrating our unique agentic advantages.
Requirements
- 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.
- Responsibilities Grow the Business: Act as the ultimate 'Business Owner' of the Agentic AI product portfolio.
- Product-Led Growth (PLG): Architect innovative PLG and Product-Led Sales (PLS) motions specific to AI software.
- Competitive Intelligence: Research the rapidly evolving agentic AI and security landscape.
- 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.
- Advanced AI Architecture
- 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.
- 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.
Benefits
- 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.
- benefits package. Qualys is an Equal Opportunity Employer, please see our EEO policy .
Additional details
- Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
- 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.
- 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.
- Pricing and Packaging: Evaluate monetization models for autonomous agents, including consumption-based pricing, premium agent tiers, and marketplace monetization models to drive customer adoption.
- Responsibilities Sales Enablement & Positioning: Develop strategic sales enablement collateral, target messaging, and product positioning.
- 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.
- Responsibilities Autonomous Multi-Agent Orchestration: Define product