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Engagement Manager

Scale AI · Riyadh, Saudi Arabia · Kingdom of Saudi Arabia

CHECKED 15H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Build custom AI applications for governments to improve citizens' lives.
  • Partner with institutions building Arabic LLMs from scratch.
  • Drive Global Public Sector growth outside the United States.

Ideal candidate

Empathetic, highly organized relationship-builder who spots high-value opportunities and loves solving government problems through AI. You thrive at the intersection of client engagement, operations, and business development.

Requirements

  • 5-7+ years of total work experience, with experience in consulting or as a technical program management role in industry
  • Written and spoken fluency in English and Arabic
  • Experience at a consulting firm or a leading tech company
  • Proven track record in B2B/B2G 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
  • Track record of structured, analytics-driven problem solving
  • History of diligence and organization across multiple work streams
  • Action-oriented mindset that balances creative problem solving with scrappiness to deliver results
  • Analytical, planning, and process improvement capability

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗