Strategist, EMEA

Scale AI
Doha, Qatar ; Dubai, UAEPosted 25 March 2026

Tech Stack

Job Description

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Building custom AI applications that will impact millions of citizens and government employees Generating high-quality training data for custom LLMs Upskilling and AI advisory services to spread the impact of AI As a Strategist, you’ll be responsible for growing the Global Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in the public sector and selected accounts across the GCC. You will develop and execute on a go to market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions. This is a technical role that requires the following: A deep interest in AI and data and the ability to articulate technical concepts in simple, precise language Experience successfully navigating and partnering with governments and senior stakeholders across the GCC (in near term Qatar, mid-term UAE KSA) Working cross-functionally with Scale Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success An ability to earn trust and develop close relationships with key decision-makers and influencers within accounts An ability to uncover business challenges, shape and scope how AI can address these challenges, and build business cases to show the impact and value of Scale’s offerings At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI and be a founding member of our team, we’d love to hear from you. You will: Work closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives and the EMEA Strategy team on overall GTM strategy across the region Work with potential clients to identify impactful AI solutions and shape and scope their high level vision for AI Demonstrate the value and impact associated with each AI application Navigate complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal Build trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects Specific responsibilities include: Customer Communications Relationship Management AI analysis and thought leadership Financial modeling and commercial literacy Pitch deck and proposal development AI workshop design and execution Creating demos of potential AI solutions using tools like Replit or Lovable Measuring and communicating the impact and value of AI applications Ideally, you’d have: 5+ years of public sector sales or consulting experience, and/or sales experience in complex environments A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts Experience in building GTM strategies to effectively scale growth Experience in partnering with both business and technical stakeholders to identify challenges and formulating solutions to address them Passion for what you do and the creativity and willingness to think outside of the box Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels Experience creating, developing, and communicating executive-level materials Written and spoken fluency in Arabic required Nice to haves: Experience selling AI products or services Please note: This role is based in Doha, Qatar, with flexibility on home location. The successful candidate will need to commit to commuting to Doha on a weekly basis, at Scale's expense. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to en ... (truncated, view full listing at source)
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