Engineering Manager, Saudi Arabia

Навыки

• API (интеграции)
• Дообучение моделей
• Лидерство
• LLM
• Маркетинговая стратегия
• Machine Learning
• REST API

О компании и продукте

• Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of:
• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

Задачи

• Lead and manage a team of engineers delivering AI-powered applications for KSA government clients, ensuring high-quality output and on-time delivery
• Serve as the primary technical point of contact for KSA government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences
• Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery
• Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases
• Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services
• Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production
• Represent Scale in client-facing settings including workshops, demos, and executive briefings with KSA government agencies
• Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment
• Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus
• Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization

Требования

• 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development
• 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams
• Strong AI/ML engineering foundation—hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production
• Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces
• Proven experience in a customer-facing or client-embedded engineering role—comfortable engaging directly with government or enterprise clients, leading technical discussions, and building trust with non-technical stakeholders
• Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs
• Ability to translate complex government business requirements into practical, scalable engineering solutions
• Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments
• Excellent communication and presentation skills, with the ability to adapt technical content for diverse audiences
• Desire to work in a very fast-paced, high-stakes environment where your work directly impacts citizens
• Experience working in or with the Gulf Cooperation Council (GCC) region is strongly preferred
• Arabic language skills a plus
• PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role
• This allows us to ensure a fair and thorough evaluation of all applicants

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