DirectJobHub
Jobs · Marketing

Principal Product Manager, Google Gemini Enterprise for Customer Experience (GECX)

Five9 · United States · 5 days ago
RemoteRemoteMarketing$135k–$398k/yrFull-time

Job Summary

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. We are seeking a Principal Product Manager, Google Gemini Enterprise for Customer Experience (GECX) to lead seamless integration of Five9 contact center services with Google GECX.

About the Role

As a principal-level product leader, you will shape the strategy and transformation beyond simple digital interactions and passive tools to AI agents that can execute complex, multi-step actions autonomously across every consumer touchpoint. You'll position Five9 as the undisputed leader in intelligent customer experience.

What You'll Do

  • Strategic Leadership - Define and drive the end-to-end product vision and strategy for Five9's integration with Google GECX aligning with company objectives and market opportunities. Own the product roadmap, balancing innovation with customer needs, competitive positioning, and technical feasibility.

  • Product Development & Execution - Lead cross-functional teams across engineering, design, data science, and GTM to translate strategy into innovative AI agent capabilities. Design and oversee the integration with Google’s AI agents that perform sophisticated customer experiences tasks including multi-step actions autonomously across every consumer touchpoint. Balance high-level strategic thinking with tactical execution, diving deep into technical details when needed.

  • Go-to-Market & Business Impact - Partner closely and effectively with Google R&D and GTM teams on this strategic partnership. Develop compelling product positioning, packaging, and pricing strategies that highlight Five9's differentiated CX capabilities via Google GECX. Partner closely with customers, ISVs, system integrators, and partners to gather insights, validate solutions, and drive measurable business outcomes. Lead beta programs and customer pilots, managing feedback loops and iterating rapidly based on real-world usage. Build business cases and ROI models that demonstrate the joint value of Five9 and Google GECX.

  • Team Development & Leadership - Mentor product managers and associate product managers, elevating the team's capabilities. Foster a culture of innovation, experimentation, and continuous learning within the product organization. Champion best practices in AI product development across the organization, including responsible AI principles, evaluation frameworks, and user-centered design.

Required Qualifications

  • 8+ years of experience in B2B SaaS product management, with significant focus on user experience and AI/ML-powered products.

  • Bachelor's degree in Computer Science, Engineering, or related technical field; MBA or advanced degree is a strong plus.

  • Proven track record of successfully launching and scaling Applied AI 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.

  • Track record of managing beta programs, running experiments (A/B testing), and leveraging customer feedback to drive product iterations.

Preferred Qualifications

  • Deep domain expertise in Applied AI and autonomous agents, contact center quality assurance, or customer experience tech stacks.

  • Experience with forward deployment models, working directly with customers during implementation, onboarding, and optimization phases to drive adoption and value realization.

  • Strong understanding of contact center operations, quality frameworks (COPC, Six Sigma, Lean), and performance management best practices.

  • Technical proficiency with LLM applications, prompt engineering, RAG architectures, and agentic design patterns (ReAct, Chain-of-Thought, tool use, multi-agent orchestration).

  • Experience with AI agent orchestration frameworks and platforms.

  • Previous experience managing products in global, distributed teams across multiple time zones.

Similar jobs