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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.

CookUnity

Fulfillment Supervisor

Austin, TX

The Fulfillment Supervisor will utilize technology such as Tableau, Google Sheets and communication tools (Slack, Geneva, Gmail) to monitor operations and ensure smooth workflow. Key Responsibilities ...

Buff City Soap

$15/hr

The Supervisor will provide consistent support to the team and must have the ability to manage ... Proficient in Gmail, Google Calendar, Google Docs, Google Drive and Microsoft Office. * Must be ...

Buff City Soap

Supervisor

Holland, OH

$13 - $15/hr

The Supervisor will provide consistent support to the team and must have the ability to manage ... Proficient in Gmail, Google Calendar, Google Docs, Google Drive and Microsoft Office. * Must be ...

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How much do google supervisor jobs pay per hour?

As of Jun 27, 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 the salary of supervisor in Google company?

The salary of a Google supervisor typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific department. Supervisors at Google often receive additional benefits such as bonuses, stock options, and health insurance.

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 much does a Google supervisor make?

A Google supervisor's salary typically ranges from $80,000 to $150,000 annually, depending on experience, location, and specific department. They often oversee teams, require strong leadership skills, and may receive benefits such as stock options and bonuses.

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 attainable 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.

What is level 7 at Google?

At Google, level 7 typically corresponds to a senior or staff-level position, such as Senior Software Engineer or Staff Engineer, depending on the department. These roles involve significant technical expertise, leadership responsibilities, and often require several years of experience and advanced skills in relevant tools and programming languages.
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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 June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $63,748 per year, or $30.6 per hour.

Research Data Scientist, Cybersecurity, Google Cloud

Google

San Francisco, CA • On-site

Full-time

Posted 22 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

34th of 192 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Research Data Scientist to tackle challenging cybersecurity issues. The role involves leveraging machine learning and data science to develop innovative solutions that protect customers and improve cybersecurity practices.
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.
Qualifications:
Required:
• 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:
• 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.
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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