1

Google Technical Jobs (NOW HIRING)

Showing results 41-60

Google Technical information

See salary details

$18

$49

$81

How much do google technical jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for google technical in the United States is $49.97, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $62.26 per hour, depending on experience, location, and employer.

What are Google Technical roles?

Google Technical roles refer to a variety of positions at Google that require specialized knowledge in fields such as software engineering, IT, data analysis, and systems infrastructure. These roles may include Software Engineers, Site Reliability Engineers, Technical Program Managers, and more. Employees in these positions work on building, maintaining, and improving Google's products and services, often collaborating with cross-functional teams. Technical roles at Google require problem-solving skills, proficiency in relevant programming languages or technical tools, and the ability to adapt to a fast-paced, innovative environment.

What typical projects or tasks does a Google Technical employee work on within a cross-functional team?

As a Google Technical employee, you may collaborate on projects ranging from developing scalable infrastructure to optimizing user-facing applications. These tasks often involve working closely with product managers, UX designers, and other engineers to translate product requirements into technical solutions. You can expect to participate in code reviews, design meetings, and troubleshooting sessions, ensuring high-quality and reliable software delivery. The collaborative culture at Google encourages knowledge sharing and continuous learning, making teamwork an integral part of your daily work.

What are the key skills and qualifications needed to thrive as a Google Technical specialist?

To thrive as a Google Technical Specialist, you need strong problem-solving abilities, foundational knowledge in computer science, and relevant technical education or certifications. Familiarity with cloud platforms (like Google Cloud), programming languages, and diagnostic tools is typically required. Excellent communication, collaboration, and customer service skills help you effectively address client needs and work with cross-functional teams. These skills ensure you can deliver high-quality technical solutions, support innovation, and drive customer satisfaction in a fast-paced tech environment.

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

AspectGoogle TechnicalGoogle Data Analyst
Required CredentialsBachelor's in Computer Science or related field, technical certificationsBachelor's in Statistics, Mathematics, or related field, data analysis certifications
Work EnvironmentTechnical teams, software development, infrastructureData teams, reporting, business insights
Employer & Industry UsageTech companies, software development, cloud servicesBusiness, marketing, finance sectors
Common Search & ComparisonTechnical skills, coding, infrastructureData visualization, reporting, analytics

Google Technical roles focus on software development, infrastructure, and technical problem-solving, requiring coding and engineering skills. Google Data Analysts concentrate on interpreting data, creating reports, and providing business insights, often requiring statistical knowledge. While both roles involve data and technical skills, their core responsibilities and work environments differ significantly.

More about Google Technical jobs

What cities are hiring for Google Technical jobs?

Cities with the most Google Technical job openings:

What states have the most Google Technical jobs?

States with the most job openings for Google Technical jobs include:

Infographic showing various Google Technical job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $103,941 per year, or $50 per hour.

Technical Program Manager, GenAI Model Release, Google Search

Google

Mountain View, CA • On-site

$152K - $197K/yr

Full-time

Posted 13 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 245 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with Generative AI or LLM model releases.

Preferred qualifications:
  • 8 years of experience managing cross-functional or cross-team projects.

About the job
Search Intelligence is one of three core Product Area groups in Search (alongside Search Platform and Search Verticals), owning core Search and AI experiences. The team delivers response quality, user experience, and conversationality for reliable Generative AI informational journeys in collaboration with platform, vertical, and cross-Product Area teams.
Search Technical Program Managers (TPgMs) serve as strategic program leads and thought partners who establish clear, ambitious, and measurable goals with strict accountability and timelines. Leveraging AI tools, they drive automation and agentic solutions to act as critical thinkers, organizational connectors, and key enablers of engineering velocity.
In this role, you will partner directly with Search executives, engineering model captains, area leads, and the DeepMind OR team to guide model release evaluations and implementation. You will lead crucial prioritization and trade-off decisions that directly shape Search knowledge and intelligence quality, ensuring continuous alignment across teams.
You will have an understanding of AI model mechanics and the product development life cycle. You will analyze evaluations, identify loss patterns, navigate technical solutions, and execute out-of-model quality improvements. You will also manage nuanced communication with DeepMind for foundational model updates and streamline information flow across Search teams. You will possess high AI fluency to implement deep agentic automation effectively. You must grow under pressure, adapt quickly to fast shifts, and maintain strong operational momentum in a high-intensity environment.
In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $278000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Lead model releases for Search, evaluating DeepMind release applicants against strict quality bars to determine launch readiness.
  • Partner with cross-functional teams to resolve complex, ambiguous technical problems as Search evolves into a fully AI-enabled product.
  • Design and execute end-to-end evaluation frameworks to analyze model applicant performance and refine output quality prior to deployment.
  • Drive deep agentic automation across evaluation and release workflows to continuously increase operational velocity and efficiency.
  • Facilitate informed decision-making and cross-team alignment to ensure Search GenAI products meet quality and performance standards.

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.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom