Engineering Manager, Saudi Arabia
Scale AI · Riyadh, Saudi Arabia · GPS Engineering · listed June 25, 2026
The shape of it
Seniority
Manager
Experience asked
3–6 years
Where
Not stated
Requirements listed
8
Length
958 words
In the posting’s own words
We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Saudi government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code.
What it asks for · 8
- 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
- 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
What the job covers
- 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
Tools and skills named
Models & research
- Machine learning7×
- LLM2×
- Fine-tuning
Data
- Data pipelines2×
Frameworks
- REST
Words the posting leans on
- engineering11×
- government11×
- experience6×
- ai/ml5×
- technical5×
- apis4×
- applications4×
- clients4×
- delivery4×
- fast-paced3×
- full stack3×
- ksa government3×
- manage3×
- product3×
- services3×
- solutions3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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