AI Sales Strategy Manager

Genesys•Durham, NC

11d

About The Position

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. AI Sales Strategy Manager Job Summary The AI Sales Strategy Manager supports the development and execution of strategies that drive the adoption of Genesys AI and Experience Orchestration solutions. This role focuses on data analysis, performance insights, and operational modeling that help guide sales planning, forecasting, and opportunity evaluation. The Manager partners with Sales, Revenue Operations, Product, and Marketing teams to ensure alignment of AI portfolio initiatives and to strengthen field readiness. At Genesys, we are transforming the customer experience landscape with empathy, innovation, and the power of AI. Joining Genesys means becoming part of a global team that is redefining how organizations connect with their customers.

Requirements

Bachelor degree in business, analytics, economics, engineering, or a related field.
6 or more years of experience in software or SaaS sales operations, revenue operations, business analytics, or management consulting.
Hands on experience building analytical models and developing insights that support sales strategy decisions.
Familiarity with AI powered customer experience or enterprise software solutions.
Strong structured problem solving skills with the ability to translate data into clear recommendations.
Proficiency with Excel and data visualization tools, with the ability to build models and dashboards.
Strong communication and presentation skills with the ability to simplify complex concepts for diverse audiences.
Ability to manage multiple projects with competing priorities while supporting global teams.

Nice To Haves

Experience supporting sales teams with AI related solutions or customer experience technologies.
Experience working in overlay or specialist environments that require collaboration across regions.
Familiarity with enterprise sales methodologies such as MEDDPICC.
Experience working in fast paced, highly cross functional environments.

Responsibilities

Support the development of AI and Experience Orchestration sales strategies through hands-on data analysis and structured problem solving.
Build analytical models that inform segmentation, territory planning, sales capacity, and pipeline health across multiple regions.
Deliver insights to Sales, Sales Management, and Revenue Operations to guide account planning, forecasting, and opportunity prioritization.
Conduct performance analysis for AI portfolio initiatives and provide recommendations that help improve execution and field readiness.
Prepare data driven materials for senior leaders, translating complex concepts into simple and actionable insights.
Partner with Product, Marketing, and Professional Services teams to support AI portfolio programs, ensuring alignment across systems and processes.
Identify operational inefficiencies within analytics workflows and collaborate on improvements that enhance data quality and accessibility.
Contribute subject matter expertise on AI powered customer experience solutions in support of account teams, without acting as the primary market facing lead.
Maintain reporting, dashboards, and analytics assets that enable ongoing tracking of sales performance and customer adoption trends.
Support global sales strategy initiatives, providing regional insight while deferring final strategy ownership to senior leaders.