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Meta
About the role
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. Connect standard customer experience APIs, CRM/ERP integrations, and customer engagement platforms into cohesive technical solutions
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
10+ 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 in a relevant field (or equivalent practical experience)
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
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