Job Description

Meta is seeking an experienced and adaptable sales leader with demonstrated success driving enterprise-level technical sales. This leader will own and grow a consultative sales team focused on unlocking the potential of Business Messaging and AI capabilities to take millions of businesses to an Agentic future.

This leader will be creative, strategic and work cross-functionally to develop scalable solutions for clients and build high-performing teams. They will be a self-starter who can navigate undefined problem spaces by structuring approaches and driving clarity, possesses enterprise and technical design sales experience — preferably in driving growth and consumption for SaaS solutions in a multi-product environment — and who is an effective coach with a track record of making timely decisions and driving execution. This role will primarily serve mid and large-sized clients in EMEA.

Responsibilities
Build, train, and maintain an high-performing consultative sales team, acting as player/coach by driving long-term opportunity while coaching through short- and long-term challenges
* Own and be accountable for quarterly and yearly revenue goals, pipeline management, and growth goals across a diversified book of business
* Increase the effectiveness of the team by recognizing opportunities for new approaches, identifying winning strategies, and scaling insights across the organization
* Develop and implement best practices for client interaction, sales, services, and product implementation based on client learnings; contribute to global playbooks and guides for enterprise sales and technical solutioning
* Develop and present compelling value propositions, business cases, and commercial structures that drive measurable outcomes for clients
* Drive strategic business and technical conversations to unlock access to multiple client stakeholder budgets
* Build executive-level client relationships across business, technical, customer experience, and marketing stakeholders; act as a trusted advisor to help clients transform their business
* Lead cross-functional efforts with In-Market teams, Global Regions, Product, Business Development, Marketing, Operations, Engineering, Policy, and Legal to optimize client efforts and shape support for unique client needs
* Develop strategies to drive client growth, including prospecting initiatives, competitive displacement, risk mitigation, and blocker removal
* Demonstrate thought leadership in the customer experience industry by participating in industry conferences and presenting to executive-level audiences

Qualifications
Experience using data to craft strategy and drive decision-making
* Experience operating effectively across multiple teams with demonstrated critical thinking and thought leadership
* Proven track record of meeting revenue targets and driving revenue growth with both emerging opportunities and established partnerships
* Communication and presentation skills with an emphasis on translating insights, product information, and data into client value
* Executive presence, and experience building trust with decision makers and conveying business value at the highest levels
* 5+ years of people management experience, leading, mentoring, and coaching direct reports
* Bachelor's degree in a relevant field (e.g., Business, Marketing, Computer Science, or related discipline)
* Analytical and problem-solving experience with large-scale systems
* 12+ years of enterprise sales experience Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Experience managing highly sensitive and confidential processes
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience driving growth and consumption for SaaS solutions in a multi-product, consultative sales environment
* Experience managing Policy and Legal stakeholders
* Experience selling conversational AI and/or Agentic AI solutions
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)