Enterprise Technical Sales Specialist, EMEA at Meta in Dubai | Artificial Intelligence Jobs | August 2026

Job at a Glance

  • πŸ“ Location: Dubai, Dubai, United Arab Emirates
  • 🏒 Company: Meta
  • πŸ’Ό Employment Type: Full-time
  • πŸ“Š Seniority: Not Applicable
  • πŸ—‚οΈ Function: Sales and Business Development
  • 🏭 Industry: Technology, Information and Internet
  • πŸ“… Date Posted: 2026-08-08
  • 🌐 Category: Artificial Intelligence

About the Role & Company

The Enterprise Technical Sales Specialist, EMEA vacancy at Meta sits in Dubai, Dubai, United Arab Emirates. This is a Artificial Intelligence seat inside a team that’s shaping how the function scales locally. For candidates, that matters β€” moving into a function that’s investing tends to open doors faster than joining one on hold. Expect the standard Enterprise Technical Sales Specialist, EMEA responsibilities plus the flex that comes with a growing team. Compensation for artificial intelligence roles in Dubai has stayed strong, and the zero-income-tax structure meaningfully lifts take-home. For someone weighing a move, this is the kind of seat that adds GCC experience to a CV without locking you in β€” useful whether you stay or move on later.

Key Requirements

  • Key to this role is an ability to prioritize work, act with urgency and work closely across teams
  • Show the ability to bridge business and technical conversations to unlock access to multiple client stakeholder budgets
  • Demonstrated work closely with other Meta Sales teams to unlock and build new opportunities by use 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
  • Solid understand and apply knowledge of products, technologies and business to build solutions to solve for problems at scale
  • Solid 10+ years of enterprise sales experience
  • Have executive 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

Job Description

Meta is hiring a qualified professional to serve as an Enterprise Technical Sales Specialist, for our clients in EMEA. If you are a highly motivated team-first who has experience in end to end direct sales, prospecting, solutions selling, technical solutions architecture design, has a bias for action and contributing directly to execution alongside strategic work 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 work closely across teams. you’ll 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 EMEA.The ideal the right person will have Enterprise and technical design sales experience, preferably in driving growth and consumption for SaaS solutions, especially in a multi product, consultative sales environment, revenue-oriented role. The role requires prospecting, pipeline development, executive engagement, technical design and closing business with our key clients, by presenting products packaged as the right business solutions based on person business needs, joint client architecture workshops, and driving execution through internal cross functional teams and external partners. The the right person will have proven skills around Sales, Solutioning, meeting revenue targets, and can influence and communicate with executive-level stakeholders through data-driven proposals and business cases. The the right person will thrive in a team-oriented environment, working with the Product, Business Development, Marketing, Operations and Engineering teams to achieve short and long term objectives.

Enterprise Technical Sales Specialist, EMEA Responsibilities:

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

Use platform strategic partners to build additional solutions as relevant

Show the ability to bridge business and technical conversations to unlock access to multiple client stakeholder budgets

ATS Resume Tips for This Role

To get past Applicant Tracking Systems (ATS) for this Enterprise Technical Sales Specialist, EMEA opening, tailor your resume with the pointers below:

  1. Include these keywords verbatim in your Skills and Experience sections: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, LLM, Computer Vision, MLOps, Data Pipelines. ATS parsers match exact strings, not synonyms.
  2. Use a single-column layout. Two-column resumes break parsers β€” text gets scrambled or dropped.
  3. Save as .docx or standard .pdf (not scanned/image PDF). Avoid text boxes, headers, footers, graphics.
  4. Use standard section headings: Experience, Education, Skills, Certifications.
  5. Mirror the exact job title (Enterprise Technical Sales Specialist, EMEA) in your target role line where truthful.
  6. Quantify results with numbers, percentages, currency. Metrics improve ATS scoring and human review.
  7. Spell acronyms out once (e.g., Search Engine Optimization (SEO)) so parser catches both forms.
  8. Font: Arial, Calibri, or Times New Roman at 10-12pt. Fancy fonts can render as unreadable glyphs.

Top 10 Interview Questions for This Role

  1. Walk me through your background and why you’re interested in this role.
  2. Describe a challenging project you owned end-to-end. What was the outcome?
  3. Tell me about a time you disagreed with a stakeholder. How did you handle it?
  4. How do you prioritize when everything on your plate feels urgent?
  5. How do you decide between fine-tuning a model vs. prompt engineering?
  6. Explain overfitting to a non-technical stakeholder.
  7. Walk through your data validation pipeline for training data.
  8. How do you evaluate model performance beyond accuracy?
  9. Describe your MLOps setup β€” from experimentation to production.
  10. How do you handle model drift once a system is in production?

How to Apply

Apply Now on LinkedIn β†’

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