Engagement Manager, International Public Sector
ScaleDoha, Qatar Posted 24 February 2026
Job Description
About the team:
Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved:
Building custom AI applications for government
Providing high-quality training data for research institutions building LLMs from scratch
Partnerships, upskilling, and advisory
About the role:
As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively, interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more.
You and your team will work closely with the business development and go-to-market team, the product and engineering execution teams, and various customers and prospects to ensure success.
The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions.
The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses.
In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region.
You will:
Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities
Partner with clients to understand their most pressing problems and brainstorm how Scale can best help
Manage the long-term health of clients by identifying and preempting areas of risk or concern
Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly
Collaborate with the operational and engineering execution teams to track delivery and timelines
Review, track and improve operational performances and be obsessed with continuous improvement
Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing
Have proficiency in reading, writing, and speaking in Arabic
Ideally you'd have:
4+ years of total work experience, with experience in consulting or as a technical program management role in industry
Experience at a Big 3 Consulting Firm or a leading tech company
A proven track record in B2B client facing roles and expanding client relationships
Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers
Great cross-functional experience and collaborative ability
Excellent verbal and written communications
A track record of structured, analytics-driven problem solving
A history of diligence and organization across multiple work streams
An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
Analytical, planning, and process improvement capability
PLEASE NOTE:
Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies th ... (truncated, view full listing at source)
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