Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
Core to our vision around Experience as a Service is building trust with and providing guidance to our customers and partners. As an AI Transformation Engagement Lead, CX Advisory, you will play a pivotal role in shaping and executing AI strategies for Genesys customers, helping them transform customer and employee experiences through AI-driven innovations.
The AI Transformation Engagement Lead, CX Advisory partners with core account teams to accelerate AI transformation and deliver rapid time-to-value. The role partners with the client through the deployment of agentic AI capabilities to drive measurable business outcomes, increase implementation velocity, and ensure scalable, production-ready solutions. By aligning AI use cases to clear KPIs and embedding strong governance and change management, this individual proves early value, drives adoption, and helps clients realize tangible results from their AI deployments.
The ideal candidate is a strategic thinker with a proven ability to conceptualize, design, and implement AI solutions in a SaaS environment. They should have a passion for leveraging AI to solve real-world problems, a deep understanding of operational efficiency, and a track record of delivering business value through data-driven decision-making.
Location: Fully remote within U.S. (not limited to the states that the job is tagged to)
Key Responsibilities
Customer Engagement & AI Delivery
Lead AI Transformation initiatives, ensuring customer success throughout the consulting lifecycle, from pre-sales activities to delivery and post-implementation support.
Develop tailored AI strategies and solutions by understanding customers’ business challenges, goals, and operational contexts.
Act as a trusted advisor for customer experience (CX) and AI innovation, defining and delivering measurable KPIs and strategic roadmaps.
Facilitate design thinking workshops and work sessions to define AI opportunities, solutions, and transformation roadmaps.
Analyze data and customer processes to provide strategic AI recommendations that drive measurable impact.
Establish clear success metrics and measurement frameworks to quantifybusiness outcomes and value realization.
Translate results into compelling customer and internal success narratives that demonstrate measurable impact.
Solution Design & Development
Collaborate with Genesys product, engineering, and delivery teams to ensure the seamless integration of AI solutions into the Genesys platform.
Build and refine repeatable AI advisory and transformation frameworks, with an emphasis on scalable and industry-specific solutions.
Identify and assess emerging trends in AI technologies and provide thought leadership to shape Genesys’s AI strategy and offerings.
Business Development
Partner with cross-functional teams (e.g., Product, Sales, Marketing) to position Genesys’s AI capabilities as a competitive differentiator in the market.
Contribute to the creation of sales collateral, thought leadership materials, and AI success stories to drive business growth.
Support RFP responses, SOW development, and other pre-sales activities to drive the adoption of AI solutions.
Identify expansion opportunities within existing engagements by linking measurable outcomes to additional AI use cases and strategic initiatives.
Thought Leadership & Collaboration
Serve as a subject matter expert (SME) on AI transformation, delivering actionable insights and recommendations to executive stakeholders.
Collaborate with internal and external stakeholders to champion ethical AI practices, ensuring solutions are secure, compliant, and aligned with customer needs.
Actively contribute to the Genesys community and industry forums, sharing best practices and innovative approaches to AI in CX.
Qualifications
Background
A bachelor’s degree (business or STEM focus preferred); relevant masters is a bonus
10+ years of relevant experience, preferably in management consulting, AI strategy and transformation, or SaaS value consulting role in an analytical environment
Proven track record in delivering large-scale AI-driven initiatives within enterprise environments.
AI Expertise
Deep understanding of AI technologies, including machine learning, natural language processing, automation, and analytics.
Familiarity with AI integration into SaaS platforms, especially in contact center or CX transformation settings.
Experience with designing and deploying AI-based solutions to improve customer and operational outcomes.
Strategic Thinking and Leadership
Strong ability to define and execute AI roadmaps that align with business objectives.
Proven ability to influence C-suite executives, align cross-functional stakeholders, and drive executive-level decisions that accelerate AI adoption and value realization.
Adept at identifying, structuring, and solving complex business problems using AI-driven insights.
Data-Driven Decision-Making
Strong ability to use data storytelling techniques to translate technical insights into actionable business recommendations.
Proficiency in creating impactful presentations using tools such as Excel, PowerPoint, and data visualization platforms.
Advanced analytical skills with proficiency in organizing and analyzing significant data
Interpersonal & Communication Skills
Exceptional relationship-building skills with the ability to communicate complex AI concepts clearly to both technical and non-technical audiences.
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