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Administrative Business Partner Ii jobs at Google in United States, Mountain View

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Company (1)
Job type
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Job title (1)
United States
State
Mountain View
528 jobs found
10.11.2025
G

Google Software Engineering Manager II Google Cloud United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Bachelor's degree or equivalent practical experience. 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 7 years of...
Description:
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:
  • Master's degree or PhD in a relevant quantitative or engineering field.
  • Experience with Large Language Models (LLMs), LLM Operations, prompt engineering, pre-training, and fine-tuning.
  • Ability to think strategically and identify emerging threats and vulnerabilities.
  • Ability to work separately and as part of a team.
  • Ability to influence cross-functionally at various levels and excellent communication and presentation skills.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
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09.11.2025
G

Google Product Manager II Search United States, California, Mountain View

09.11.2025
G

Google Customer Engineer II AI/ML Google Cloud United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Master's degree in Statistics, Data Science, Mathematics, Physics,Economics, Operations Research, Engineering, or a related quantitativefield. 5 years of work experience using analytics to solve product or business problems, coding (e.g.,...
Description:
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics,
    Economics, Operations Research, Engineering, or a related quantitative
    field.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL, etc.), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL, etc.), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  • 2 years of experience in genAI, LLMs, and supervised machine learning.
  • Ability to think critically, analyze complex problems, and develop data-driven solutions with a strategic mindset.
  • Track record of using data science to solve unstructured business problems and translating the results into impactful business and product recommendations.
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These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Bachelor's degree or equivalent practical experience. 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 7 years of...
Description:
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:
  • Master's degree or PhD in a relevant quantitative or engineering field.
  • Experience with Large Language Models (LLMs), LLM Operations, prompt engineering, pre-training, and fine-tuning.
  • Ability to think strategically and identify emerging threats and vulnerabilities.
  • Ability to work separately and as part of a team.
  • Ability to influence cross-functionally at various levels and excellent communication and presentation skills.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Show more
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