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Google Technology Jobs (NOW HIRING)

Google

Staff Software Engineer, API Proxy

Sunnyvale, CA · On-site

About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need ...

Rishabh RPO

Architect

Mountain View, CA · On-site

Job Title: Sr Staff Architect, Google Tech Platform Location: San Francisco, CA 94103 Duration: 6 months Description: Build and develop strong relationships with technical leaders across Google ...

Google

Technical Program Manager, PDI

Sunnyvale, CA · On-site

$151K - $196K/yr

We deliver enterprise-grade cloud solutions that leverage Google's technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future.

Google

Engineering Manager, SSD Storage

Sunnyvale, CA · On-site

We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google ...

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How much do google technology jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for google technology in the United States is $27.38, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $31.25 per hour, depending on experience, location, and employer.

Which job is highly paid in Google?

In Google, senior roles such as Staff Software Engineer, Engineering Manager, and Technical Lead tend to be the highest paid positions, often earning six-figure salaries plus bonuses and stock options. These roles require extensive experience, advanced technical skills, and leadership capabilities within the company's engineering and product teams.

What kinds of career advancement opportunities are available for professionals working with Google technologies?

Working with Google technologies opens up a wide range of career development paths across cloud engineering, data analytics, security, and solution architecture. Many organizations encourage team members to obtain advanced Google Cloud certifications and participate in ongoing professional development to keep pace with emerging tools. As you gain experience, you may take on leadership roles, spearhead major projects, or specialize in areas such as machine learning or infrastructure automation. Teams are often collaborative and cross-functional, providing exposure to diverse projects and skill sets. This dynamic environment supports both vertical promotion and lateral movement into new technical specialties.

What tech jobs pay 400,000 a year?

High-level roles such as senior software engineers, engineering managers, and technical directors at major technology companies like Google can earn salaries exceeding $400,000 annually, especially with bonuses, stock options, and other compensation. These positions typically require extensive experience, advanced technical skills, and often involve leadership responsibilities or specialized expertise in areas like machine learning or cloud infrastructure.

What is a Google Technology job?

A Google Technology job refers to a role at Google that involves working with cutting-edge software, hardware, and cloud-based solutions. These jobs can span various domains, including software engineering, AI research, cloud computing, and product management. Employees in these roles develop, maintain, and improve Google's technologies to enhance user experiences and drive innovation. These positions typically require strong technical expertise, problem-solving skills, and collaboration within diverse, fast-paced teams.

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

To excel in a role focused on Google technology, you typically need expertise in Google Cloud Platform (GCP), proficiency in programming languages like Python or Java, and a relevant bachelor’s degree in computer science or a related field. Familiarity with Google’s suite of tools (such as Google Analytics, Google Workspace, and BigQuery) and industry certifications like Google Cloud Certified are highly valued. Strong problem-solving abilities, collaboration skills, and adaptability to rapidly changing technology are important soft skills. These qualifications are critical for effectively designing, implementing, and optimizing solutions within the Google technology ecosystem.

Is it hard to get hired at Google?

Getting hired at Google for a technology role is competitive, with a rigorous interview process that assesses technical skills, problem-solving ability, and cultural fit. Candidates often need strong coding skills, relevant experience, and a solid understanding of algorithms and data structures to succeed.

What engineers make $500,000?

Senior software engineers at major tech companies like Google can earn $500,000 or more annually, especially with bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills in areas like machine learning or cloud infrastructure, and often involves leadership roles or specialized expertise.
More about Google Technology jobs
What cities are hiring for Google Technology jobs? Cities with the most Google Technology job openings:
What are the most commonly searched types of Google Technology jobs? The most popular types of Google Technology jobs are:
What states have the most Google Technology jobs? States with the most job openings for Google Technology jobs include:
What job categories do people searching Google Technology jobs look for? The top searched job categories for Google Technology jobs are:
Google Technology jobs near you
Infographic showing various Google Technology job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $56,940 per year, or $27.4 per hour.
Senior Business Data Scientist, AI/ML, Google Cloud

Senior Business Data Scientist, AI/ML, Google Cloud

Google

Sunnyvale, CA • On-site

Full-time

Re-posted 28 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies

Job description

Minimum qualifications:
  • Master's degree in Statistics, Engineering, Sciences, a related quantitative discipline, or equivalent practical experience.
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 5 years of experience in a data science role, with a specific focus on machine learning and Natural Language Processing (NLP) for developing and deploying AI/ML solutions.
  • Experience programming in Python or a similar language, along with relevant ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
  • Experience with Large Language Models (LLMs), including their application in solving business problems.
  • Ability to translate complex data into actionable insights and communicate findings to technical and non-technical stakeholders.

About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google's technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
As a Data Scientist, you will focus on Artificial Intelligence to join our team. You will be instrumental in driving customer success at scale by building the predictive, personalized, and proactive solutions that define the future of customer support. You will work with large datasets to develop and deploy innovative ML/AI solutions, translating complex data into actionable strategies.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Drive customer success at scale by developing predictive, personalized, and proactive customer support solutions.
  • Lead the end-to-end development and deployment of advanced AI/ML solutions, with a strong emphasis on Large Language Models and intelligent autonomous agents, addressing complex business challenges.
  • Implement robust evaluation frameworks and metrics for LLMs and AI agents, encompassing both traditional model performance and agent-specific evaluation criteria (e.g., task completion rate, reasoning quality).
  • Monitor and maintain deployed LLM and AI agent solutions in production, including tracking key performance indicators, identifying and addressing model drift, and ensuring system stability and scalability.
  • Identify AI/ML opportunities by collaborating closely with stakeholders to understand business needs and translate them into technical requirements and measurable outcomes. Proactively research and integrate advancements in LLMs, generative AI, and AI agent architectures to continuously enhance our capabilities.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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