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Leads the architecture and delivery of AI-powered digital customer experience solutions for enterprise clients. Designs Genesys Cloud integrations, digital channels, virtual agents, copilots, knowledge systems, and workflow automation. Acts as the technical authority for complex engagements, leads architecture workshops, advises senior stakeholders, ensures scalability and security, mentors consultants, supports presales, and develops reusable implementation assets and reference architectures.

The Customer Success Manager, Director at Genesys leads enterprise customer relationships, drives business outcomes, and champions customer success initiatives while collaborating cross-functionally to achieve key growth and retention objectives.

Own the strategy, definition, and delivery of AI-powered messaging experiences across Web Messaging, Mobile Messaging, WhatsApp, and other channels. Translate customer problems into scalable generative AI, conversational AI, and automation products; use customer insights and production data to prioritize investments; and influence roadmaps across AI, Messaging, Digital Platform, Engineering, Design, Sales, and Customer Success. Drive use cases from experimentation through production adoption and enterprise scale.

Lead global partner strategy and programs to drive partner-sourced revenue and scale. Design partner tiering, incentives, KPIs, and compliance; run a virtual partner support center; own partner portal and partner tech stack; align stakeholders across Sales, Marketing, Finance and Ops; use analytics and governance to measure performance; and build and develop a high-performing, globally distributed partner organization.

Leads activation and amplification of customer stories and proof through integrated, multi-channel marketing campaigns. Develops campaign models, content portfolios, and playbooks; coordinates customer content for major events; partners with digital, social, communications, field marketing, events, campaigns, sales, and customer success teams; manages cross-functional workstreams; and defines KPIs to measure reach, engagement, reuse, field utilization, and business impact.

Leads content marketing for Customer Success, Professional Services, and Orchestrators. Develops web copy, blogs, thought leadership, executive and analyst presentations, sales materials, customer stories, video scripts, and field content. Translates complex AI, technology, and services concepts into compelling narratives, supports campaigns, guides creative partners, equips sales teams, and measures content performance. This hands-on role collaborates with executives, subject matter experts, customers, campaigns, and program leaders to increase visibility, engagement, and adoption.

Leads Genesys’ AI product marketing strategy, including positioning, messaging, competitive differentiation, go-to-market programs, launches, customer proof, analyst engagement, and seller enablement. Partners with Product, Engineering, Sales, Customer Success, and Marketing to translate complex AI capabilities into compelling enterprise value. Represents Genesys externally as an AI thought leader and builds and develops a high-performing product marketing team while measuring impact across pipeline, adoption, seller effectiveness, competitive wins, and market perception.

Lead and grow a sales team focused on State & Local Government, develop territory and go-to-market strategy, drive pipeline, coach account executives through complex SaaS/Cloud sales cycles, and achieve revenue targets while supporting recruiting, forecasting, and stakeholder engagement.

The Senior Account Executive will drive revenue growth in the State & Local Government sector, managing sales opportunities and building relationships while utilizing industry expertise and knowledge of procurement processes.

Build and operate full-stack, AI-powered applications and agentic systems for enterprise customer experiences. Responsibilities include developing React and TypeScript frontends, backend services, LLM integrations, tool-using agents, evaluation frameworks, and AWS-hosted services. The role owns features end to end, translates ambiguous customer problems into products, prototypes rapidly, and improves system reliability, safety, observability, cost, latency, and robustness in production.