Principal Product Manager, Agentic QM

Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or advanced degree is a strong plus 9+ years of experience in B2B SaaS product management, with significant focus on AI/ML-powered products Deep, hands-on understanding of AI technologies and their evolution: machine learning, natural language processing, Large Language Models, and agentic AI systems Proven track record of successfully launching and scaling AI/ML products from conception through growth Exceptional analytical and problem-solving skills, with demonstrated ability to make data-driven decisions in ambiguous situations Strong business acumen with experience in product positioning, pricing, and go-to-market strategy Outstanding communication skills, able to influence senior stakeholders and translate complex technical concepts for diverse audiences Experience leading through influence in matrixed, global organizations with distributed teams Track record of managing beta programs, running experiments (A/B testing), and leveraging customer feedback to drive product iterations Deep domain expertise in Automated Quality Management (AQM), contact center quality assurance, or workforce optimization technologies (Preferred) Hands-on experience designing and building agentic AI platforms (Preferred) Experience with forward deployment models (Preferred) Strong understanding of contact center operations, quality frameworks (COPC, Six Sigma, Lean), and performance management best practices (Preferred) Technical proficiency with LLM applications, prompt engineering, RAG architectures, and agentic design patterns (Preferred) Knowledge of AI evaluation methodologies (Preferred) Experience with AI agent orchestration frameworks and platforms (Preferred) Background working in fast-paced, high-growth SaaS companies serving enterprise customers (Preferred) Previous experience managing products in global, distributed teams across multiple time zones (Preferred)

Define and drive the end-to-end product vision and strategy for Five9's agentic quality management platform Own the product roadmap, balancing innovation with customer needs, competitive positioning, and technical feasibility Serve as the internal and external thought leader on agentic AI applications in contact center quality management Conduct deep competitive and market analysis Lead cross-functional teams across engineering, design, data science, and GTM to translate strategy into innovative AI agent capabilities Design and oversee the development of autonomous AI agents that perform sophisticated quality management tasks Define detailed product requirements for complex agentic systems Drive forward deployment engagements with enterprise customers Develop compelling product positioning, packaging, and pricing strategies Partner closely with customers, ISVs, system integrators, and partners Lead beta programs and customer pilots Build business cases and ROI models Mentor product managers and associate product managers Champion best practices in AI product development Foster a culture of innovation, experimentation, and continuous learning