Growth Consultant, Appdev, Google Customer Solutions (english, Japanese)

Google Google · Big Tech · Singapore

This role is a Growth Consultant for AppDev at Google Customer Solutions, focusing on helping app customers in Japan and APAC optimize their user acquisition strategy with Google Ads. The consultant will deliver data science/measurement consulting projects, lead client analysis, develop scripts for automation, and work with sales leadership and cross-functional teams to find new business opportunities. The role involves advising clients on marketing analytics best practices and scaling measurement impact internally. While the role mentions understanding AI principles and machine learning methodologies, its core function is sales and customer consulting, not direct AI/ML model development or research.

What you'd actually do

  1. Partner with internal and external product, research, data, and measurement teams to deliver full measurement solutions to customers.
  2. Own the measurement conversation and be comfortable leading client conversations and projects related to measurement.
  3. Advise Google clients and agencies on best practices for marketing analytics within the broader context of industry standards and options. Provide ongoing customer consultation on how to implement best practices.
  4. Scale measurement impact internally by upskilling AppDev sales growth managers.

Skills

Required

  • English and Japanese fluency
  • 5 years of experience in a technical project management or a customer-facing role
  • Bachelor's degree or equivalent practical experience

Nice to have

  • Experience with cloud platforms
  • Experience in consulting business or data science to influence strategic changes in their resource and budget allocations
  • Understanding of AI principles and their application to business growth
  • Understanding of statistical modeling and quantitative analysis techniques, and ability to analyze large datasets with the goal of delivering actionable insights
  • Familiarity with machine learning methodologies including data cleansing, normalization, feature engineering, model training/validation and automation
  • Excellent problem-solving, project management, and investigative skills

What the JD emphasized

  • AI-era