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Enterprise Technical Sales Specialist

Argentina, Buenos Aires · Job Posted April 11, 2026
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Job Description

Meta is seeking an exceptional individual to serve as an Enterprise Technical Sales Specialist, for our clients in Latin America (LATAM). If you are a highly motivated team player who has experience in end to end direct sales, prospecting, solutions selling, technical solutions architecture design, has a bias for action and rolling up your sleeves to get things done, and wants to unlock the potential of Business Messaging and AI capabilities to take millions of businesses to an Agentic future, we would be excited to hear from you. Key to this role is an ability to prioritize work, act with urgency and collaborate across teams. You will enable clients to realize the full potential of Meta's Business Messaging Platform and AI as a customer engagement solution. This role will primarily serve mid and large-sized clients in LATAM.

Job Responsibility

  • Prospect, Identify and Design technical solutions in partnerships with clients to address their business needs to advance their progression towards an AI Agentic future centered on the current Meta Business Messaging platform
  • Bring in advanced engineering resources as needed to accelerate new use cases
  • Leverage platform strategic partners to build additional solutions as relevant
  • Demonstrate the ability to bridge business and technical conversations to unlock access to multiple client stakeholder budgets
  • Prospect, develop and present compelling value propositions, business cases, along with commercial structure, for clients to drive measurable outcomes
  • Demonstrate thought leadership and develop strategic client plans to drive growth against goals, including prospecting initiatives, net new pipeline targets, competitive displacement assessing and mitigating risks, and removing blockers
  • Build client relationships and trust with high level decision makers across business, technical, customer experience, marketing, and other relevant stakeholders, to gain mindshare that can help drive measurable business results. Act as a trusted advisor to help the clients transform their business
  • Work with cross-functional teams to develop strategies to scale client-facing activities
  • Help build global playbooks/guides on best practices around product implementation and solutions success based on Client learnings
  • Effectively communicate client feedback internally to identify feature gaps and improvement opportunities
  • Guide our clients to the most optimal implementations by walking them through the technical solutions across Meta’s Business Messaging platform. Must be able to connect the bridges between standard customer experience market API, CRM/ERP integration, and whiteboard customer engagement platform
  • Work closely with other Meta Sales teams to unlock and develop new opportunities by leverage any and all of Meta’s understanding of business goals and industry trends
  • Influence the customer experience industry through technology by participating in industry conferences and presenting to executive-level audiences
  • Understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
  • This individual will be adept at holding a technical architecture discussion with multiple stakeholders

Requirements

  • 8+ years Enterprise sales experience
  • Possess executive maturity, presence and experience in building trust with decision makers and articulating business value to key decision makers
  • Experience in leading and driving the entire sales cycle, orchestrating cross-functional teams where necessary, leveraging repeatable offerings that maximize revenue and increase client satisfaction
  • Analytical and problem-solving experience with large-scale systems
  • Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership
  • Bachelor’s degree
  • Fluent English

Nice to have

  • 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)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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