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Google Math Jobs (NOW HIRING)

Google

Financial Analyst, Google Fi

Mountain View, CA · On-site

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all ...

Google

TAM Manager, Google Cloud Consulting

Austin, TX · On-site

Google is a leading technology company, and they are seeking a TAM Manager for their Google Cloud ... Required : • Bachelor's degree in Computer Science, Mathematics, a related technical field, or ...

Google

TAM Manager, Google Cloud Consulting

Austin, TX · On-site

Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent ... About the job Google Cloud Consulting ensures that our customers successfully adopt and integrate ...

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Google Math information

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$22.5K

$58.8K

$94.5K

How much do google math jobs pay per year?

As of Jun 26, 2026, the average yearly pay for google math in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What is the difference between Google Math vs Google Data Analyst?

AspectGoogle MathGoogle Data Analyst
Required CredentialsMathematics degree or related certificationsDegree in Statistics, Data Science, or related field
Work EnvironmentResearch, academic, or technical teamsBusiness, marketing, and product teams
Industry UsageAcademic, research, and technical sectorsCorporate, tech, and marketing sectors
Common Search/ComparisonFocus on mathematical theories and researchFocus on data analysis, reporting, and insights

Google Math typically involves theoretical and research-focused roles requiring advanced mathematics skills, while Google Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills but differ in application and industry context.

What are the key skills and qualifications needed to thrive as a Google Software Engineer specializing in Mathematics, and why are they important?

To thrive as a Google Software Engineer specializing in Mathematics, you need a strong background in computer science, algorithms, and advanced mathematics, typically supported by a relevant degree. Familiarity with programming languages such as Python, C++, and Java, as well as experience using mathematical libraries and tools like TensorFlow or MATLAB, is important. Analytical thinking, problem-solving, and effective teamwork are essential soft skills for tackling complex challenges and collaborating on innovative solutions. These skills ensure robust, efficient solutions to mathematical and computational problems that support Google's technology and services.

What are Google Math jobs?

Google Math jobs refer to positions at Google that require strong mathematical skills and expertise. These roles often involve working in data analysis, machine learning, research, software engineering, or algorithm development. Employees in these positions use mathematical concepts to solve complex problems, optimize systems, and develop new technologies. Candidates typically have backgrounds in mathematics, statistics, computer science, or related fields.

What types of projects do mathematicians at Google typically work on, and how do they collaborate with interdisciplinary teams?

Mathematicians at Google often contribute to projects involving algorithm development, data analysis, machine learning, and optimization problems. They collaborate closely with software engineers, data scientists, and product managers to solve complex technical challenges, such as improving search algorithms or enhancing security protocols. The work environment is highly collaborative and fast-paced, with frequent brainstorming sessions and opportunities to contribute mathematical expertise to innovative products. This role offers continuous learning and the chance to see your mathematical solutions impact millions of users globally.
More about Google Math jobs
What states have the most Google Math jobs? States with the most job openings for Google Math jobs include:
What job categories do people searching Google Math jobs look for? The top searched job categories for Google Math jobs are:
Google Math jobs near you
Infographic showing various Google Math job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% In-person job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Global Solutions Manager, Data, Google Cloud

Google

Austin, TX • On-site

Full-time

Posted 28 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

33rd of 191 rated software companies

Job description

Job Summary:
Google is a leading technology company that offers cloud solutions to help businesses transform and innovate. As a Global Solutions Manager for Google Cloud, you will drive strategies and execution of solutions to enhance customer outcomes while collaborating with various teams to deliver impactful initiatives.
Responsibilities:
• Analyze customer needs and market opportunity to select and prioritize Google Cloud solutions across our Data pillar.
• Define and validate solutions with an end-to-end focus on technical and commercial readiness to accelerate customer adoption.
• Manage cross-functional collaboration to drive asset development.
• Enable low-friction customer consumption and deliver strong Google field enablement.
• Own and manage the ongoing lifecycle of each solution, including promoting awareness (internal and external, including partners) and evaluating success via measurement of business indicators (e.g. revenue, customer acquisition).
Qualifications:
Required:
• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 7 years of experience in a customer-facing role in the enterprise technology space.
• Experience with the AI/ML technologies as applied to data: MCP, Toolbox, ML lifecycle concepts, including model training, deployment, MLOps, or responsible AI practices.
• Experience working with cloud-based data infrastructure.
• Experience with the developer side of building applications and databases.
Preferred:
• Master's degree in Engineering, Computer Science, or related technical fields.
• Experience building AI/ML and data platform products for cloud customers.
• Experience shipping enterprise products to a developer or data science audience.
• Experience working with Google data platforms, including data analytics and databases.
• Experience with generative AI models and the open source community.
• Ability to translate complex technical topics into business-relevant narratives and work cross-functionally with sales, product, and engineering teams.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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