Engineering Manager (AI Quality)

📋 Description

• Lead and manage a cross-skilled engineering team to improve AI output quality.
• Champion "Measure What Matters" with rigorous testing for drift and performance.
• Apply "Decisions Over Consensus" to provide clear technical direction and resolve alignment.
• Manage third-party vendor relationships and oversee tech integration and partnerships.
• Define technical strategy, architecture, and design for AI quality.
• Drive continuous improvement to optimize engineering productivity and quality.

🎯 Requirements

• 5+ years in software engineering with AI/ML quality focus.
• Proven experience managing vendor relationships and tech partnerships.
• Strong technical skills in Applied AI, ML, and software deployment lifecycles.
• Excellent communication and people management skills.
• Passion for wearable tech and fast-paced, high-growth environments.
• Experience managing an AI product at scale is a plus.

🎁 Benefits

• Equal Opportunity Employer
• Career framework and growth opportunities
• Collaborative, fast-paced environment