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Google Mathematics 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

Product Support Manager, Google Fi

Boulder, CO · On-site

Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or ... The gTech users and Products (gUP) Product and Delivery (P&D) Google Fi team is entering a ...

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 ...

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 ...

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$22.5K

$58.8K

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How much do google mathematics jobs pay per year?

As of Jun 24, 2026, the average yearly pay for google mathematics 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 are typical projects or challenges a Google Mathematics professional might work on?

Professionals in Google Mathematics roles often engage in projects that require designing new algorithms, optimizing search or recommendation systems, and developing advanced statistical models to support Google's products and services. They may tackle challenges like handling large datasets, improving machine learning efficiency, or solving complex optimization problems with practical, real-world impact. Teams are typically collaborative and multidisciplinary, so you'll work with engineers, researchers, and product managers to turn mathematical research into deployable solutions. The dynamic work environment encourages continuous learning and offers opportunities for career growth into technical leadership or specialized research fields. Overall, Google Mathematics professionals play a crucial part in driving innovation at the company.

What are the key skills and qualifications needed to thrive in the Google Mathematics position, and why are they important?

To thrive in a Google Mathematics role, you need a robust background in applied mathematics, statistics, and computer science, typically supported by an advanced degree such as a Master's or Ph.D. Proficiency in programming languages like Python or C++, mathematical modeling tools, and familiarity with large-scale data systems are commonly required. Strong problem-solving skills, creativity, and the ability to clearly communicate complex ideas are highly valued. These competencies are crucial to develop innovative solutions for Google's data-driven projects and to contribute successfully within multidisciplinary teams.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles related to mathematics include quantitative analysts, data scientists, and actuarial directors, often requiring advanced degrees and specialized skills. Executive positions such as chief data officers or senior financial managers in tech, finance, or consulting firms can also reach or exceed this salary level. These roles typically demand extensive experience, strong analytical skills, and proficiency with tools like Python, R, or SQL.

What jobs make 10,000 a month without a degree?

In roles related to mathematics or data analysis, high-paying jobs such as freelance data consultants, online tutors, or financial analysts can earn $10,000 or more monthly without a formal degree, often requiring strong skills, certifications, or experience. Success in these fields depends on expertise, reputation, and the ability to secure clients or contracts independently.

What is a Google Mathematics job?

A Google Mathematics job involves applying advanced mathematical concepts to solve complex problems in areas like artificial intelligence, machine learning, cryptography, data analysis, and algorithm design. Mathematicians at Google work on optimizing search algorithms, improving AI models, enhancing data compression, and developing new computational techniques. These roles often require expertise in areas such as probability, statistics, optimization, and discrete mathematics. Candidates typically have advanced degrees (master's or Ph.D.) in mathematics, computer science, or related fields.

What profession makes $400,000 a year?

High-level roles such as senior data scientists, software engineers at major tech companies, and specialized financial professionals can earn $400,000 or more annually. These positions typically require advanced skills, extensive experience, and often involve working in competitive, high-demand environments.

What is the highest paid math job?

The highest paid math-related job is often a quantitative analyst or financial mathematician, earning six-figure salaries or higher, especially in investment banking, hedge funds, or proprietary trading firms. Senior roles such as chief data officer or chief risk officer in financial institutions also command high compensation, often supplemented with bonuses and stock options.
What cities are hiring for Google Mathematics jobs? Cities with the most Google Mathematics job openings:
What are the most commonly searched types of Google Mathematics jobs? The most popular types of Google Mathematics jobs are:
What states have the most Google Mathematics jobs? States with the most job openings for Google Mathematics jobs include:
What job categories do people searching Google Mathematics jobs look for? The top searched job categories for Google Mathematics jobs are:
Google Mathematics jobs near you
Infographic showing various Google Mathematics job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, 1% Temporary, and 6% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Global Solutions Manager, Data, Google Cloud

Google

Boulder, CO • On-site

Full-time

Posted 26 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd 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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