# Engagement Manager, Global Public Sector

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** Doha, Qatar
**Role:** Customer Success
**Experience:** 7+ years
**Skills:** LLMs, Machine Learning, APIs, Ai Safety, Client Relationship Management, Business Development, Technical Program Management, Data Analysis, Process Improvement
**Posted:** 2026-08-04

> The Engagement Manager will build and manage government and research-institution relationships, identify custom AI and LLM opportunities, and coordinate delivery across business, operations, product, and engineering teams. The role requires 7+ years of experience, strong B2B relationship management, technical fluency with APIs and ML lifecycles, and Arabic proficiency.

## Job Description

## Responsibilities

- Identify high-value use cases for custom LLMs that Scale can build within government entities.
- Partner with clients to understand pressing problems and determine how Scale can help.
- Manage long-term client health by identifying and preempting risks or concerns.
- Serve as the main point of contact for client questions, issues, and concerns, triaging as needed.
- Collaborate with operational and engineering execution teams to track delivery and timelines.
- Review, track, and improve operational performance through continuous improvement.
- Brainstorm with research institutions building Arabic LLMs about how Scale can support them and what they should consider testing.
- Partner with organizations seeking to train and educate people on AI, AI safety, and related topics.
- Establish customer and prospect relationships and identify opportunities for custom AI applications.
- Oversee execution, ensuring timelines are met or communicated effectively.

## Requirements

- 7+ years of total work experience, including consulting or technical program management experience in industry.
- Experience at a consulting firm or leading technology company.
- Proven track record in B2B client-facing roles and expanding client relationships.
- Ability to understand APIs and the machine learning training lifecycle.
- Strong cross-functional collaboration skills.
- Excellent verbal and written communication skills.
- Structured, analytics-driven problem-solving experience.
- Demonstrated diligence and organization across multiple workstreams.
- Action-oriented mindset balancing creative problem-solving with delivery.
- Analytical, planning, and process improvement capabilities.
- Proficiency in reading, writing, and speaking Arabic.

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