Enterprise Technical Sales Specialist, Noram

Meta Meta · Big Tech · Los Angeles, CA +2

This role is a Technical Sales Specialist focused on selling Meta's Business Messaging Platform and AI capabilities to enterprise clients, enabling them to achieve an "Agentic future". The role involves direct sales, technical solution design, client relationship building, and driving revenue growth by presenting AI-powered solutions. While the role heavily involves AI concepts and tools, the core function is sales and product enablement, not direct AI/ML model development or research.

What you'd actually do

  1. 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.
  2. Demonstrate the ability to bridge business and technical conversations to unlock access to multiple client stakeholder budgets.
  3. Prospect, develop and present compelling value propositions, business cases, along with commercial structure, for clients to drive measurable outcomes
  4. 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.
  5. Guide our clients to the most optimal implementations by walking them through the technical solutions across Meta’s Business Messaging platform.

Skills

Required

  • Enterprise sales experience
  • Solutions selling
  • Technical solutions architecture design
  • Prospecting
  • Pipeline development
  • Executive engagement
  • Closing business
  • Sales
  • Solutioning
  • Meeting revenue targets
  • Influence and communicate with top levels of management
  • Analytical and problem-solving experience with large-scale systems
  • Operating autonomously across multiple teams
  • Critical thinking
  • Thought leadership
  • Integrate AI tools to optimize/redesign workflows
  • Responsible, ethical AI practices
  • Ongoing AI skill development
  • Prompt/context engineering
  • Agent orchestration
  • Staying current with emerging AI technologies

Nice to have

  • Direct sales
  • Bias for action
  • Rolling up your sleeves to get things done
  • Driving growth and consumption for SaaS solutions
  • Multi product, consultative sales environment
  • Revenue-oriented role
  • Joint client architecture workshops
  • Driving execution through internal cross functional teams and external partners
  • Team-oriented environment
  • Working with the Product, Business Development, Marketing, Operations and Engineering teams
  • Advanced engineering resources
  • Platform strategic partners
  • Commercial structure
  • Driving measurable outcomes
  • Strategic client plans
  • Net new pipeline targets
  • Competitive displacement assessing and mitigating risks
  • Removing blockers
  • Client relationships and trust
  • Customer experience
  • Marketing
  • Other relevant stakeholders
  • Mindshare
  • Measurable business results
  • Trusted advisor
  • Transform their business
  • Cross-functional teams
  • Scale client-facing activities
  • Global playbooks/guides
  • Best practices around product implementation and solutions success
  • Client learnings
  • Standard customer experience market API
  • CRM/integration
  • Whiteboard customer engagement platform
  • Meta Sales teams
  • Understanding of business goals and industry trends
  • Influence the customer experience industry through technology
  • Industry conferences
  • Presenting to executive-level audiences
  • Products, technologies and business
  • Solve for problems at scale
  • Holding a technical architecture discussion

What the JD emphasized

  • AI Agentic future
  • AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • agent orchestration
  • emerging AI technologies