Source description
About the role
5–8 years of experience in data quality, QA, AI/ML operations, or related fields
2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale
Native-level English proficiency and a university degree (Bachelor’s or higher).
Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese.
Strong operational mindset with experience managing performance across multiple workstreams
Proven ability to drive quality, delivery, and process improvements
Strong judgment and ability to operate in ambiguity
Comfortable interacting with stakeholders and representing the team
Ability to balance quality, speed, and evolving priorities
Strong communication and organizational skills
Deep attention to detail, with the ability to zoom out and see patterns
Interest in AI and how human feedback shapes model behavior
Role Scope & Accountability
This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement.
You’ll be expected to think beyond day-to-day execution and focus on long-term outcomes, ensuring the team consistently meets targets across quality, delivery, and overall program performance.
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