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Engineering Manager

Unlock employer Dubai, United Arab Emirates Posted: 21 Oct 2025

Financial

  • Estimate: $120k - $150k*
  • Zero income tax location

Accessibility

  • Fully Remote
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

Join Tether and shape the future of digital finance. As the Engineering Manager for QVAC, our Local AI SDK, you will lead a cross-functional team of C++ and JavaScript developers focused on building and optimizing AI tools for local deployment. This role involves overseeing the entire development lifecycle, from planning to deployment, in a fast-paced environment where performance and efficiency are critical. You will report to the Head of AI Development and play a key role in advancing our AI capabilities for edge computing applications.

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Work Conditions: Full-time, 100% Remote | Location: United Arab Emirates (Remote)

Responsibilities:

  • Own the timely and high-quality delivery of features by establishing clear milestones, conducting code reviews, and collaborating with the project management team to track progress and mitigate risks.
  • Manage team leads and individual contributors, organizing workflows according to the product roadmap, including resource allocation, sprint planning, and performance evaluations to foster team growth and productivity.
  • Collaborate with cross-functional teams, such as product management and research, to ensure SDK compatibility across platforms, resolve integration issues, and align on technical standards.
  • Ensure that the solutions developed meet high technical standards and adhere to robust architectural practices established within the company.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
  • 8+ years of combined experience in JavaScript and C++ development, with proven engineering management experience leading SDK or similar software development projects, including hands-on involvement in architecture design and team scaling.
  • Strong understanding of AI frameworks and low-level hardware optimizations, such as GPU/CPU acceleration, tensor operations, and memory management techniques essential for efficient local AI inference.
  • Excellent communication and leadership skills, with a track record of leading large teams (40+ members) through complex projects, including conflict resolution, mentoring, and stakeholder management.

Language Requirements:

  • Excellent English communication skills are required.

This is an exciting opportunity to collaborate with some of the brightest minds and contribute to the most innovative platform in the fintech space. If you're ready to take on this challenge, we encourage you to apply.

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