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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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Scale AI on August 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.