Engineering Manager, Saudi Arabia

Scale AI
Riyadh
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsSkills: ["Communication","Leadership","Presentation","Stakeholder management","Mentoring"]

Lead and mentor a high-performance engineering team delivering AI-powered applications for Saudi government clients. Serve as the primary technical liaison to government stakeholders, drive end-to-end full-stack AI solutions, and ship secure, scalable integrations while shaping engineering culture and processes in Scale AI’s Global Public Sector practice.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
2 months ago

Engineering Manager, Saudi Arabia

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead and mentor a high-performance engineering team delivering AI-powered applications for Saudi government clients. Serve as the primary technical liaison to government stakeholders, drive end-to-end full-stack AI solutions, and ship secure, scalable integrations while shaping engineering culture and processes in Scale AI’s Global Public Sector practice.
Location: Riyadh
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •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

Key Requirements

  • •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:6+ yearsPublic sectorGCCSaudi ArabiaAI/ML
Skills:CommunicationLeadershipPresentationStakeholder managementMentoring
Languages:EnglishArabic
Tech Stack:AI/MLLLMsAPIsData pipelinesFull stack

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn