Scale AI

4 weeks 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: 2 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

Website LinkedIn

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Scale AI

4 weeks 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: 2 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn