2 дня назад
Head of Solutions Engineering, EMEA (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Solutions Engineering, EMEA (AI): Building and scaling a technical pre-sales organization that brings AI services from discovery through pilots, deployment, and production success with an accent on cloud architecture, API-driven products, and enterprise customer solutions. Focus on leading distributed Solutions Engineering teams, converting pilots into production wins, and aligning Sales, Product, and Engineering across diverse EMEA markets.
Location: Doha, Qatar; Dubai, UAE; or Riyadh, Saudi Arabia. Frequent travel across EMEA is required.
Company
develops reliable AI systems, high-quality data, and full-stack technologies for enterprises, governments, and leading AI model providers.
What you will do
- Lead technical strategy, qualification, and execution for complex customer deals in partnership with Sales and regional leadership.
- Build, recruit, mentor, and enable a distributed Solutions Engineering and Solutions Architecture organization across EMEA.
- Define repeatable pre-sales processes, tools, playbooks, and regional enablement programs.
- Lead technical discovery, demonstrations, and proof-of-concept programs through deployment and production adoption.
- Represent ’s platform to executives, technical stakeholders, partners, and regional industry forums.
- Bring customer insights to Product and Engineering roadmap and feature discussions while tracking pilot conversion, utilization, revenue influence, and adoption.
Requirements
- 10+ years of experience in Solutions Engineering, Sales Engineering, or Technical Consulting, including 4+ years in leadership.
- Experience building and scaling technical pre-sales or customer engineering teams across multiple markets.
- Strong knowledge of cloud architecture, enterprise infrastructure, and API-driven products.
- Hands-on ability to build prototypes and guide technical teams.
- Familiarity with AI/ML technologies, data platforms, and modern model deployment practices.
- Executive presence, cross-functional collaboration skills, commercial judgment, and willingness to travel frequently across EMEA.
Nice to have
- Experience with AI infrastructure, MLOps, or applied data science.
- Background working with enterprise, government, and startup ecosystems.
- Knowledge of regional AI, data, and privacy regulations.
- Experience launching new markets, scaling teams rapidly, or developing technical enablement content and GTM playbooks.
Culture & Benefits
- Culture centered on curiosity, innovation, accountability, AI understanding, and go-to-market discipline.
- Inclusive and equal opportunity workplace with reasonable accommodations available during the application process.
- Applicants may be reconsidered for the same role after a 90-day waiting period.
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