Software Engineering Manager (AI Quality)

WHOOP

Boston, United States Posted September 12, 2026

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Remote Full-time Senior
Salary Range

$150,000 - $215,000

Job Description

Join WHOOP, a leading performance optimization company, as a Software Engineering Manager (AI Quality). In this role, you will be responsible for ensuring the reliability, performance, and integrity of our AI models. You will lead a team of AI and ML engineers, establish rigorous testing frameworks, manage third-party vendor relationships, define technical strategy, and drive continuous improvement initiatives. You will also foster a culture of innovation and continuous learning within your team. Enjoy a flexible vacation policy, paid parental leave, stock options, complimentary WHOOP membership, and a competitive benefits package.

  • Diriger et gérer une équipe d'ingénieurs en IA et en ML pour développer des conceptions techniques robustes et assurer l'excellence opérationnelle.
  • Établir des cadres de test rigoureux pour évaluer la dérive et la performance des modèles, en défendant le principe "Measure What Matters".
  • Gérer les relations avec les fournisseurs tiers, superviser l'intégration technologique et la performance du partenariat.
  • Proven experience managing third-party vendor relationships and technology partnerships
  • Passion for wearable technology and experience thriving in a fast-paced, high-growth environment
  • Experience managing an AI product at scale is a plus
  • Strong technical skills in Applied AI, Machine Learning, and software deployment lifecycles
  • Excellent communication, interpersonal, and people management skills
  • 5+ years of experience in software engineering, with significant experience building and measuring the quality of AI/ML products
  • Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience
Required Skills
software development performance optimization machine learning testing process improvement partnerships communication people leadership artificial intelligence
How to apply

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