Meta is seeking a Customer Value Architect and Journey Mapping Lead to join the Enterprise Sales Enablement organization within our Global Business Group. In this role, you will define and operationalize how Meta's enterprise sales teams articulate, quantify, and deliver customer value across complex, multi-stakeholder sales cycles. You will architect end-to-end customer journey frameworks that align Meta's advertising and business platform solutions to measurable enterprise outcomes, enabling sales teams to engage C-suite buyers with compelling, data-driven value narratives. This is a high-impact, staff-level role at the intersection of enterprise go-to-market strategy, value engineering, and sales enablement.

Customer Value Architect, Enterprise Sales Enablement Responsibilities:

• Design and own the enterprise customer value architecture framework, including value proposition mapping, ROI modeling methodologies, and business case development tools used across Meta's enterprise sales organization
• Build and maintain a library of customer journey maps that reflect the end-to-end buying experience for enterprise clients across key verticals, identifying critical decision points, stakeholder motivations, and value realization milestones
• Partner with enterprise sales, product marketing, and solutions engineering teams to translate Meta's advertising and business platform capabilities into quantified customer outcomes and executive-ready value narratives
• Develop scalable value engineering assets including ROI calculators, total cost of ownership models, and benchmark-driven business case templates tailored to enterprise segments and industry verticals
• Lead cross-functional working groups to align customer journey insights with product roadmap priorities, sales plays, and go-to-market messaging for enterprise accounts
• Establish a feedback loop between field sales teams and enablement leadership by synthesizing deal-level insights, win/loss data, and customer interviews into actionable journey and value framework improvements
• Define and track success metrics for value architecture programs, including adoption rates among enterprise sales teams, influence on deal velocity, and correlation with enterprise revenue outcomes
• Collaborate with sales leadership and business development partners to embed customer value and journey mapping practices into enterprise account planning and executive business review processes
• Mentor other enablement practitioners and business development contributors on value selling methodologies and customer journey design principles
• Present customer value frameworks and journey mapping insights to senior sales leadership and cross-functional stakeholders to drive organizational alignment and program investment
  
  

Minimum Qualifications:

• 8+ years of experience in enterprise sales enablement, value engineering, management consulting, or a related go-to-market strategy function
• Experience designing customer journey maps and value architecture frameworks for complex, multi-stakeholder enterprise sales environments
• Experience developing quantitative business case tools such as ROI models, total cost of ownership analyses, or value realization frameworks used in enterprise sales cycles
• Experience working cross-functionally with enterprise sales, product marketing, and solutions teams to align go-to-market strategy with customer value delivery
• Experience communicating complex value propositions and strategic frameworks to executive-level audiences through written deliverables and presentations
  
  

Preferred Qualifications:

• Experience in enterprise advertising technology, marketing platforms, or SaaS sales environments with demonstrated understanding of how enterprise buyers evaluate and measure platform ROI
• Experience building and scaling enablement programs in a matrixed, global organization with measurable impact on enterprise pipeline and revenue outcomes
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience applying design thinking or human-centered research methods to customer journey mapping at scale across multiple industry verticals
• Familiarity with value selling methodologies such as MEDDIC, Challenger, or similar enterprise sales frameworks and their integration into enablement programs
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$162,000/year to $227,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.