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Manage enterprise customer portfolios and executive relationships, driving adoption, retention, renewals, expansion, and measurable business outcomes. Develop success plans, lead business reviews, identify AI use cases, guide responsible AI adoption, analyze usage and health data, close adoption gaps, and coordinate onboarding, professional services, support, product, sales, and renewal teams. Requires deep AI expertise, structured adoption leadership, SaaS sales experience, and strong executive communication.

Leads enterprise AI transformation initiatives for strategic customers, partnering with executives to define AI strategies, roadmaps, architectures, governance models, and measurable business outcomes. Designs scalable solutions involving agentic AI, virtual agents, copilots, automation, data, and omnichannel customer experience technologies. Guides implementations from experimentation through production, coordinates cross-functional teams, drives adoption and optimization, establishes responsible AI practices, and contributes to Genesys thought leadership and product strategy.

Leads enterprise AI transformation initiatives for strategic customers, advising executives, designing scalable AI architectures, and guiding deployments from experimentation through production and adoption. The role covers Agentic AI, customer experience orchestration, cloud platforms, integrations, responsible AI governance, value realization, and continuous optimization. It also develops reusable frameworks, establishes AI Centers of Excellence, coordinates cross-functional teams, and influences Genesys AI strategy through customer insights and industry thought leadership.

Supports Customer Success finance through renewal, retention, pipeline, ARR, and SaaS-metric analysis. Leads renewal target planning, Technical Account Manager program P&L visibility, executive reporting, and strategic recommendations. Partners with Finance and Customer Success leaders on resource allocation and retention strategies while improving reporting through AI tools, automation, and analytics. Owns a finance web portal and translates complex financial and operational data into actionable insights.

Leads enterprise AI sales strategy as a strategic overlay and thought leader. Partners with sales, product, marketing, and AI teams to accelerate pipeline, develop go-to-market programs, coach teams, guide enterprise AI transformation, lead proof-of-concept engagements, support commercialization and deal governance, and evangelize agentic AI to executive customers. Requires extensive enterprise AI SaaS or CCaaS sales experience, global customer engagement, and at least 50% domestic and international travel.

Leads enterprise AI transformation for strategic customers, advising executives, defining AI roadmaps, and designing scalable solutions across agentic AI, automation, analytics, cloud, and customer experience platforms. Guides initiatives from experimentation through production and adoption, establishes governance and responsible AI frameworks, drives measurable business outcomes, and coordinates cross-functional delivery teams. The role also develops reusable methodologies, supports AI Centers of Excellence, influences product strategy, and represents Genesys through executive briefings, thought leadership, and industry engagement.

Designs and delivers production-ready AI solutions for strategic enterprise customers using Genesys Cloud, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization while advising executives and technical leaders. The role develops reference architectures, integrates CRM, ERP, cloud, and data ecosystems, supports responsible AI practices, and helps customers scale agentic orchestration and omnichannel customer experience solutions.

Designs and delivers production-ready AI solutions for strategic customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and enterprise integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization while advising executive stakeholders. Builds reference architectures, integrates CRM and cloud ecosystems, guides responsible AI practices, and enables customer teams to adopt and expand AI-powered customer experience solutions.

Supports the SVP of Solution Consulting by managing complex calendars, meetings, travel, communications, confidential information, expenses, events, onboarding, and operational priorities. Coordinates cross-functional initiatives, tracks actions and dependencies, resolves scheduling conflicts, and supports organizational alignment. The role requires strong judgment, discretion, organization, communication, adaptability, and advanced proficiency with Microsoft Office and Adobe Acrobat.

Develop and maintain global demo web applications, fictional customer sites, Genesys Cloud demonstrations, and end-to-end API integrations. Manage AWS infrastructure, DevOps automation, CI/CD, infrastructure as code, monitoring, and cost optimization. Integrate AI and LLM technologies into workflows and demos. Troubleshoot escalated environment issues and collaborate with Sales Engineering, Product, Engineering, Marketing, and Partners to deliver reliable, compelling demonstrations.