Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
The Principal Product Manager, Support will define and drive the strategy, roadmap, and execution for the company’s customer support technology ecosystem. This role will partner closely with Customer Support, Customer Success, Product, and Engineering teams to build scalable solutions that enhance customer experience, improve support efficiency, and enable intelligent automation across support operations.
The ideal candidate will have strong experience designing and delivering modern support platforms, enabling AI-driven knowledge discovery, automating support workflows, and building self-service capabilities that reduce ticket volumes and improve resolution speed.
Define and own the product vision and roadmap for customer support platforms
Align support technology initiatives with the company’s customer experience strategy and operational goals
Identify opportunities to improve support scalability, efficiency, and automation.
Enable AI-powered enterprise search and knowledge discovery capabilities that allow customers and support agents to quickly find relevant documentation, troubleshooting guides, and product information.
Improve self-service support experiences to reduce ticket volumes and improve customer satisfaction.
Establish governance and lifecycle management for support knowledge content.
Design scalable workflows for:
Case intake and triage
Intelligent case routing
SLA management
Escalation and resolution processes
Identify opportunities to automate repetitive support tasks to improve operational efficiency.
Drive the adoption of AI-powered capabilities within the support ecosystem, including intelligent search, contextual recommendations, and automated troubleshooting experiences for customers and support agents.
Lead initiatives to implement conversational support experiences such as chat-based and voice-based assistants that can automate common customer inquiries and improve first-response times.
Partner with engineering and data teams to leverage machine learning and analytics to identify recurring customer issues, optimize knowledge content, and continuously improve support automation and case deflection rates.
Partner with Customer Support, Customer Success, Product, Engineering, and GTM teams to gather requirements and deliver scalable solutions.
Work closely with stakeholders to prioritize initiatives that improve customer experience and operational efficiency.
Define and track key support metrics including:
Case deflection rate
First response time
Resolution time
Knowledge article usage
Customer satisfaction (CSAT)
Use data and analytics to continuously improve support platform performance.
10+ years of experience in product management, business systems, or enterprise support platforms
Experience designing and implementing customer support platforms and case management systems
Strong understanding of customer support operations and support workflows
Experience with enterprise knowledge management systems and AI-powered search platforms
Experience integrating support platforms with CRM systems, customer portals, and analytics platforms
Strong stakeholder management and cross-functional leadership skills.
Experience implementing AI-driven customer support capabilities such as chatbots, voice assistants, or intelligent case routing.
Experience building self-service support platforms for enterprise SaaS environments.
Familiarity with support analytics and customer experience metrics
Experience working with global customer support organizations.
Reduction in support ticket volume through improved self-service
Faster case resolution time
Increased knowledge base adoption
Improved customer satisfaction (CSAT)
Higher support automation and case deflection rates
Note:
1. Hybrid Mode with with 3 Days office is Mandatory
Qualys, Inc. (NASDAQ: QLYS) is a leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings.
The Qualys Enterprise TruRisk Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices.
Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com.
