Lead and manage a team of engineers within the Google Play Apps Experience domain. This role offers the opportunity to shape product strategy, drive technical direction, and foster team development. You will be instrumental in guiding large-scale projects and ensuring the high performance of engineering teams.

AI fluency is an expectation for this position. Be prepared to discuss your knowledge and practical application of AI tools during the interview process.

Google Play is a vibrant platform offering music, movies, books, apps, and games across various devices. Working on Google Play means contributing to the Android and Mobile ecosystem, from backend systems engineering to product strategy and content partnerships, enhancing the developer experience and reaching millions of users worldwide.

- Define and communicate team priorities that align with broader organizational objectives, ensuring seamless strategy and decision-making across multiple teams. - Establish clear expectations for individual performance and development, providing regular feedback and coaching to foster growth. - Develop and evolve the mid-term technical direction and roadmap for your team(s), anticipating future requirements and infrastructure needs. - Guide and review system designs, contributing to the resolution of complex problems through code development. - Ensure adherence to best practices by reviewing engineer-developed code, focusing on style, accuracy, testability, and efficiency.

Possess a Bachelor's degree or equivalent practical experience, alongside 8 years of software development experience. A minimum of 3 years of dedicated experience in Android application development and 3 years in a technical leadership capacity is required. Furthermore, 2 years of experience in people or team management is essential for this role.

Preferred qualifications include a Master's degree or PhD in Computer Science or a related technical field, along with 3 years of experience operating within complex, matrixed organizational structures.

This role is hybrid, with in-person interviews often a part of the hiring process. AI fluency is a key expectation, and candidates should be ready to discuss their experience with AI tools.