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It is an exciting time to be at Meta as we’re building a Success team to support high growth in our Enterprise GTM Group. We are seeking a Customer value architect and journey mapping professional, who will be responsible for researching our customers’ journey to success across multiple use cases and industries, identifying friction points, gaps and opportunities to accelerate their time to value.
Job Responsibility
Own qualitative and quantitative research and documentation as it pertains to the success journey for our covered accounts, beginning with Large Enterprise (Fortune 500)
Understand our existing customers, their use cases, jobs to be done in a deployment, common pain points and how business messaging can address customer needs
Work cross-functionally with teams such as Marketing, Global Business Solutions (Sales), Product Engineering, Partner Organization, Insights and analytics and Customer Success Managers in the field
Document and demonstrate the current customer journey by developing visual journey maps which may include service blueprints, flowcharts, layouts, diagrams, charts, and models
Analyze specific success motion performance and make recommendations of ways to improve the effectiveness of our customer success lifecycle
Oversee the analysis, reporting and delivery of key program performance metrics of program to executive leadership, and cross functional stakeholders
Provide market intelligence and leverage industry best practices to continuously optimize and innovate our success offering
Able to act as a trusted advisor in addressing our customer's business needs
Requirements
5+ years consulting, process optimization, design thinking or customer research
Demonstrated customer interface and presentation skills, with a customer-first approach
Demonstrated analytical, problem solving and creative thinking skills
Ability to work well in a fast-paced, hands-on dynamic and ambiguous environment
Proven planning, time management, organizational and interpersonal skills
Nice to have
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Proficiency in web-analytics applications, and digital whiteboarding solutions is preferred