About The Position

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery. The AI Support team at WHOOP is responsible for delivering an exceptional support experience to our prospective and current users, leveraging cutting-edge AI technologies. As an Engineering Manager at WHOOP, you will have technical and people management responsibilities. On the technical side, you will work closely with product management to carefully design experience and across all software teams to successfully enable your team to deliver. You will support the team in developing technical designs, architecture, and operational excellence needs. You will ensure that the engineering team adheres to best practices and standards for software development. On the people management side, you will manage and mentor a team of cross-skilled engineers across backend, AI, iOS and Android and provide regular performance feedback, and ensure professional development and growth. You will work to foster a culture of innovation, teamwork, psychological safety, and continuous learning. You are responsible for promoting a positive work environment where all team members feel valued, supported, and empowered to do their best work.

Requirements

  • Experience building AI products
  • Experience as a software developer with experience operating in a management role
  • Strong technical skills in Applied AI, software development, testing, and deployment
  • Excellent communication, interpersonal, and management skills
  • Passion for wearable technology and a desire to work in a fast-paced startup environment

Nice To Haves

  • Experience managing an AI product at scale is a plus

Responsibilities

  • Guiding and managing a team of cross-skilled engineers responsible for developing features ranging from AI features across internal and external use cases
  • Collaborating with cross-functional teams to ensure the successful delivery of these features
  • Managing third-party vendor, both technology and relationship
  • Defining technical strategy, architecture, and design for product features
  • Ensuring the engineering team adheres to best practices, standards, and processes for software development, testing, and deployment
  • Driving continuous improvement initiatives to optimize the engineering team's productivity, quality, and efficiency
  • Providing mentorship, guidance, and coaching to team members to ensure their professional development and growth
  • Fostering a culture of innovation, teamwork, psychological safety, and continuous learning
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