Product Solutions and Operations Manager, Google Play Store
Mountain View, CA, USA
Sponsorship not specified$114k-$164kDetected 7 hours ago
Machine LearningLLMsProduct ManagementProject ManagementResearchProblem Solving
About the role
- About the job Play's Store Product Solutions and Operations team strives to enable exceptional user experiences within the Google Play Store by enabling new features and delivering high-quality, trusted data that powers Store treatments.
- This data feeds into the systems that determine the best apps and games to show to individual users, and also contributes to training machine learning models and evaluating new product launch decisions.
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 Return on Investment (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 Key Performance Indicators (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.
Requirements
- Bachelor's degree or equivalent practical experience.
- 5 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 have
- 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.
- In this role, you will be responsible for ensuring our program produces reliable labeled data, by designing, running, and owning human computation tasks across our international rater team.
- You'll have ownership over critical product data streams and work with your product and engineering partners to prioritize human computation projects, the best way to collect data, and how much data will be required.
Compensation
- US: $114000 - $164000 (USD) + 15% bonus target + equity + benefits
Benefits
- 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.
This listing is sourced directly from Google's careers page and normalized into a canonical job model.