À propos de ce poste iOS Engineer II (Growth) chez Whoop
At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology monitors vital physiological metrics to offer personalized insights that enhance fitness, health, and recovery.
The Growth Team at WHOOP is a fast-paced, experimentation-driven group focused on driving user acquisition, activation, and retention. We take a data-driven approach to everything we do, frequently measuring the performance of our features and iterating based on those results.
As an iOS Engineer II, you will play a key role in building mobile experiences that directly impact member engagement and growth. You’ll collaborate cross-functionally to deliver high-impact features, contribute to the evolution of the iOS architecture, and help scale the WHOOP app to support millions of members worldwide.
RESPONSIBILITIES:
Work on a cross-functional team that collaborates with data science, product, and backend engineering.
Develop and maintain native iOS product features in Swift and integrate with RESTful backend services.
Contribute to feature ideation, planning, design, and development.
Document architecture and new features to support long-term maintainability.
Analyze metrics and member feedback to uncover bugs and opportunities to improve app stability and engagement.
Participate in the release pipeline, including app building, signing, testing (e.g., via TestFlight), and App Store submission.
Use tools like Jira, Confluence, and GitHub to organize and communicate work.
QUALIFICATIONS:
Product-minded engineer with empathy for the member experience.
2–4 years of professional experience building, testing, debugging, and shipping native iOS apps.
Strong proficiency in Swift and experience with modern iOS architecture and lifecycle management.
Familiarity with RESTful APIs and networking best practices.
Knowledge of best-practice architecture and modular design patterns, such as MVVM.
Experience using Git and version control workflows.
Comfortable working in a fast-paced, data-driven environment.
Team player who thrives on continuous learning and direct feedback.
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
