About The Position

Play’s Store Product Solutions and Operations team aims to create exceptional user experiences within the Google Play Store by enabling new features and providing high-quality, trusted data for Store treatments. In this role, you will collaborate cross-functionally to manage, scale, and enhance solutions, combining human insights and machine learning. As a Product Solutions & Operations Manager, you will partner with a global, cross-functional team of product managers, engineers, and product specialists to ensure Google Play users consistently have the best store experience. You will be responsible for ensuring the program produces reliable labeled data by designing, running, and owning human computation tasks across an international rater team. This involves collaborating with Google Play experts to design evaluations, deploy tools and processes to international raters, analyze data, and drive continuous process improvements. You will have ownership over critical product data streams, working with product and engineering partners to prioritize human computation projects, determine optimal data collection methods, and specify data volume requirements. This data feeds into systems that recommend apps and games to individual users and contributes to training machine learning models and evaluating new product launch decisions. The team is seeking an experienced product/operations manager with a bias for action and a passion for incredible mobile user experience.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in a technical project management or a customer-facing role.
  • 3 years of experience managing projects from inception to completion within a global organization.
  • 3 years of experience in human computation or data labeling.

Nice To Haves

  • Experience working with product and engineering teams.
  • Experience in designing, implementing and managing product development and operationalization frameworks and methodologies.
  • Experience with prompt engineering and human computation.
  • Ability to make smart tradeoffs and rapidly launch and iterate new product features for a user-facing commercial organization.
  • Strong analytical skills and ability to analyze research or performance data, develop insights and apply them to optimize the product roadmap.

Responsibilities

  • Collaborate with Product Management, Engineering and Product Marketing teams to launch new products, scale operations, surface critical data signals to increase user engagement and improve developer ROI.
  • Own product data streams, partnering with subject matter experts to implement evaluations to production and collect data from rater teams at scale.
  • Track data quality and operational KPIs and perform analysis to drive continuous improvement and troubleshoot issues.
  • Work closely with global vendor raters, vendor managers and vendor trainers to identify gaps or issues in data collection, and design and implement solutions to address them.
  • Stay up to date on the latest data labeling methods, including human rater labeling and machine learning, and make recommendations for LLM-first solutions to scale output.

Benefits

  • bonus
  • equity
  • benefits
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