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Product Solutions and Operations Manager, Google Play Store

Manage and scale product data streams and human computation tasks to enhance the Google Play Store user experience. Collaborate with cross-functional teams to implement evaluations, track KPIs, and optimize data labeling methods using machine learning and LLMs.

Mountain View, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* 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.

PREFERRED QUALIFICATIONS:

* 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.

* Excellent problem solving skills, with the ability to analyze research or

performance data, develop insights and apply them to optimize the product

roadmap.

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. In this

critical role, you will work cross-functionally to manage, scale, and enhance

our solutions, utilizing a sophisticated blend of human insights and machine

learning.

As Product Solutions and Operations Manager, you'll partner with a global,

cross-functional team comprising product managers, engineers, and product

specialists, to provide Google Play users with the best store experience every

time they come to Play.

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 collaborate with experts across Google Play
  • to design evaluations, deploy tools and processes to our international raters,
  • analyze data, and drive ongoing process improvements. 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. 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.
  • Our team enables Play users to have the very best experience with the Google
  • Play Store, connecting each individual to the best apps and games on their
  • devices, and you will use your bias for action and passion for incredible mobile
  • user experience to join us.
  • Individual pay is determined by factors including job-related skills,
  • experience, and relevant education or training.
  • US: $114000 - $164000 (USD) + 15% bonus target + equity + benefits
  • Learn more about benefits at Google
  • [https://www.google.com/about/careers/applications/benefits/].
  • 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.
  • * 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.

Which skills does this role require?

Technical Project ManagementData LabelingProduct OperationsCross-functional CollaborationData AnalysisKPI TrackingVendor ManagementLLM SolutionsProduct Roadmap OptimizationOperational FrameworksLLMMachine LearningKPIsProduct ManagementData StreamsROIUser EngagementLLMsProduct Strategy

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