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Google Supervisor Jobs (NOW HIRING)

Bear Energy Services LLC

FIELD SUPERVISOR

Barstow, TX · On-site

$160K/yr

The Field Supervisor will coordinate with cross-functional teams to implement auditing protocols and utilize technology tools such as Google Maps API and Microsoft Excel to track and report findings.

Google

Senior Interaction Designer

New York, NY · On-site

The Kids and Families team is at the core of Google's entire Kids and Families strategy. We build supervised experiences for under 18 year old users and tools for their parents to manage their ...

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How much do google supervisor jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for google supervisor in the United States is $30.65, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $36.54 per hour, depending on experience, location, and employer.

What is L1, L2, L3, and L4 in Google?

In the context of a Google Supervisor or similar roles, L1, L2, L3, and L4 typically refer to different levels or tiers within the company's job hierarchy, indicating increasing seniority, responsibility, and experience. These levels help define job expectations, required skills, and compensation structures, often used in performance evaluations and career progression planning.

What are Google Supervisors?

Google Supervisors are professionals who oversee teams or projects within Google, ensuring that organizational goals are met efficiently and effectively. They are responsible for managing team performance, providing guidance and support to employees, coordinating workflows, and facilitating communication between team members and upper management. Google Supervisors also play a crucial role in fostering a positive workplace culture, mentoring staff, and implementing company policies. Their position requires strong leadership, communication, and problem-solving skills to support both employee development and operational success.

How difficult is it to get hired at Google?

Getting hired as a Google Supervisor is competitive, often requiring relevant experience, strong technical skills, and a solid educational background. The hiring process typically involves multiple interview rounds assessing problem-solving, leadership, and technical abilities, making it a challenging but achievable goal for qualified candidates.

What are some common challenges faced by a Google Supervisor and how can they be effectively managed?

Google Supervisors often navigate the complexities of managing diverse teams, driving innovation, and adapting to Google's fast-paced environment. Balancing team performance with individual growth, ensuring open communication across cross-functional groups, and meeting ambitious project deadlines can be challenging. Success in this role involves leveraging strong interpersonal skills, fostering a collaborative culture, and using data-driven decision-making to prioritize and address issues proactively. Regular feedback sessions and ongoing professional development also contribute to overcoming these challenges and achieving team goals.

What are the key skills and qualifications needed to thrive as a Google Supervisor, and why are they important?

To thrive as a Google Supervisor, you need strong leadership abilities, team management experience, and a relevant bachelor's degree or equivalent experience. Familiarity with Google's productivity tools (e.g., Google Workspace), project management platforms, and data analysis systems is typically required. Exceptional interpersonal communication, problem-solving, and adaptability are crucial soft skills that set top supervisors apart. These skills ensure effective team coordination, high performance, and the achievement of organizational goals in a dynamic environment.

What is the difference between Google Supervisor vs Google Team Lead?

AspectGoogle SupervisorGoogle Team Lead
Required CredentialsBachelor's degree, management experience, leadership skillsBachelor's degree, project management, leadership skills
Work EnvironmentOversees multiple teams, strategic planningManages specific projects or teams, direct supervision
Employer & Industry UsageCommon in corporate, tech, and operations roles at GoogleUsed for team management, project coordination at Google
Search & Comparison IntentHigh overlap in leadership and management rolesSimilar leadership responsibilities, more focused on projects

The Google Supervisor and Google Team Lead roles both involve leadership and management within Google. The Supervisor typically oversees multiple teams and focuses on strategic planning, while the Team Lead manages specific projects or teams with a more hands-on approach. Both roles require leadership skills and relevant experience, but the Supervisor has a broader scope of responsibilities.

How much do Google supervisors make?

Google supervisor salaries typically range from $70,000 to $150,000 annually, depending on experience, location, and specific responsibilities. Supervisors at Google often receive additional benefits such as bonuses, stock options, and health insurance, with pay scales reflecting the company's competitive compensation structure.

What is the highest paid job at Google?

The highest paid roles at Google are typically executive positions such as Senior Vice Presidents or Chief Officers, including roles like Chief Executive Officer or Chief Financial Officer. These positions often have compensation packages that include high base salaries, bonuses, and stock options, reflecting their leadership responsibilities and experience levels.
More about Google Supervisor jobs
What cities are hiring for Google Supervisor jobs? Cities with the most Google Supervisor job openings:
What states have the most Google Supervisor jobs? States with the most job openings for Google Supervisor jobs include:
What job categories do people searching Google Supervisor jobs look for? The top searched job categories for Google Supervisor jobs are:
Google Supervisor jobs near you
Infographic showing various Google Supervisor 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 $63,748 per year, or $30.6 per hour.
Research Data Scientist, Cybersecurity, Google Cloud

Research Data Scientist, Cybersecurity, Google Cloud

Google

San Francisco, CA • On-site

Full-time

Re-posted 12 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

info_outline
X 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: San Francisco, CA, USA; Reston, VA, USA.
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:
  • 3 years of experience developing and deploying machine learning and AI models in production settings.
  • Experience at the intersection of security or fraud and ML.
  • Experience applying a variety of unsupervised, semi-supervised, and supervised machine learning techniques, and the ability to turn big data into actionable intelligence.
  • Experience building LLM-powered applications to automate the analysis and contextualization of complex data.
  • Experience with the challenges in applying machine learning in a non-stationary and adversarial environment.
  • Ability to evaluate, analyze, and improve machine learning models and LLM-driven systems.

About the job
The Google Cloud Gusto AI Data Science Research team develops innovative, data-driven solutions to today's most challenging cybersecurity problems. By leveraging data derived from Google's unparalleled view of the threat landscape, our cross-functional, applied research team experiments and delivers impactful findings for both our customers and the broader cybersecurity industry.
We are looking for a Research Data Scientist to help us solve challenging cybersecurity problems and protect billions of customers by applying their expert knowledge of machine learning, statistics, and Generative AI. In this role, you will partner with subject matter experts on the front lines defending against advanced threat actors, iteratively develop new capabilities, and work closely with our engineering team to deploy and maintain them. Our team works on a wide variety of cybersecurity challenges including agentic security operations, threat intelligence contextualization, security-tuning LLMs, dark web threat detection, and more. We encourage sharing impactful learnings through publications at academic conferences and talks at industry venues.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Explore promising areas of future research at the intersection of cybersecurity and machine learning.
  • Drive the research and development of new models and analytic products to solve cybersecurity problems.
  • Develop models and analytics. Move from proof of concept to minimum viable product quickly and efficiently.
  • Work closely with other engineering teams to develop scalable data pipelines, deploy models/analytics, and enact telemetry-driven model improvements over time.
  • Communicate research results to stakeholders and the research community through documentation, white papers, peer-reviewed publications, and presentations.

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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