Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads the design and execution of Genesys’s future Customer Success operating model, connecting Professional Services, customer engagement, AI, technology, talent, commercial models, and scaled delivery. Partners with executives to define transformation priorities, roadmaps, governance, and business cases; leads strategic initiatives from concept through adoption; and drives organizational change across a global matrixed SaaS environment.

Leads UX strategy and research for conversational AI across voice and digital experiences. Defines interaction principles, frameworks, and end-to-end journeys spanning dialogue, voice behavior, automation, human handoffs, and agentic systems. Partners with product, engineering, research, data science, and AI teams to translate technical capabilities into intuitive experiences, influence senior stakeholders, analyze real interaction data, mentor designers, and improve consistency, trust, and effectiveness across enterprise products.

Lead enterprise adoption of Agentic AI across Genesys Cloud, designing scalable architectures, integrations, data flows, proofs of concept, and production solutions. Translate business objectives into measurable customer experience and operational outcomes, advise executive stakeholders, optimize AI solutions after launch, and promote responsible AI practices involving security, privacy, HIPAA, and PCI compliance.

Lead migration of financial data pipelines from Snowflake to AWS, design SOX-compliant dimensional models, build Medallion Architecture datasets, implement data quality, observability, CI/CD, and performance optimizations, and partner with stakeholders to deliver production-ready financial analytics at scale.

Generates outbound pipeline across Higher Education and Academic Medical Center accounts through multichannel prospecting, account research, stakeholder engagement, lead qualification, and account-based strategies. Partners with Account Executives to identify new logo, cross-sell, and upsell opportunities; presents Genesys Cloud and CX solutions; tracks activities and opportunities in Salesforce; and meets pipeline, meeting, and conversion KPIs.

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.

Lead enterprise AI transformation as a strategic advisor and architect: define AI strategy, design scalable Agentic AI and orchestration solutions, integrate LLMs and enterprise systems, guide customers from experimentation to production, ensure governance and responsible AI, drive KPI-based value realization and continuous optimization across large organizations.

Leads global product marketing, executive messaging, customer growth marketing, AI thought leadership, product positioning, launches, go-to-market strategy, events, customer evidence, and industry engagement. Builds and develops teams while translating complex enterprise software, cloud, AI, automation, and platform capabilities into compelling customer and business value. Partners with product, engineering, sales, and customer success leaders to drive adoption, expansion, and market differentiation.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.

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.