Jobs at Genesys

Lead customer engagements to design, prototype, and deploy agentic AI-powered CX solutions. Drive discovery, define architectures, implement POCs/MVPs, integrate with CRM/ERP, build evaluation pipelines, apply governance and responsible AI, mentor teams, and codify reusable frameworks to scale AI orchestration across enterprise accounts.

Lead and scale an EMEA team of AI and experience orchestration overlay sellers. Coach specialists, establish operating models, drive AI-focused sales motions, partner with Account Executives and sales leadership, support strategic enterprise opportunities, and translate customer challenges into AI use cases and measurable value. Monitor market and competitive trends while collaborating with Product, Marketing, Enablement, Customer Success, and Professional Services to improve go-to-market effectiveness.

Serves as the primary Total Rewards subject matter expert for EMEA, leading regional compensation and benefits programs across multiple countries. Advises HR and business leaders on salary reviews, market pricing, equity, incentives, benefits, pay equity, compliance, and governance. Partners with Payroll, Finance, Legal, vendors, and global Total Rewards teams to ensure effective program delivery, analyze workforce data, improve processes, and support organizational changes, mergers, and acquisitions.

Lead product vision and execution for CX, agent experience and engagement. Define a unified UX framework for Genesys Cloud, coordinate cross-functional teams, drive roadmap prioritization, customer adoption, ROI analysis, and manage global product teams to deliver AI-driven workspace experiences.

Partner with strategic enterprise customers to drive adoption and optimization of Genesys Cloud CX. Provide technical guidance, deliver assessments and roadmaps, manage customer plans, identify risks and opportunities, and act as trusted advisor to achieve measurable business outcomes while feeding product insights back to Genesys.

Lead strategy, planning and lifecycle for a technical customer education portfolio. Define roadmaps, prioritize learning products across modalities, partner with stakeholders, measure adoption, and use data and AI-enabled tools to improve learner outcomes and portfolio performance.