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Google Pilot Jobs (NOW HIRING)

Google

Customer Engineer, AI/ML, Google Cloud

Austin, TX · On-site

$55.25 - $73.75/hr

... pilots and in-depth workshops. • Architect cross-pillar solutions, drive technical wins, and ... Company : Google specializes in internet-related services and products, including search ...

Industrial Access

UAV/Drone Pilot

Cumming, GA

$25 - $35/hr

Familiarity with Google Earth, Google apps, and UAV piloting apps * Experienced with data organization, uploading, and transfer methodologies * Experience with software to automate drone flights for ...

Industrial Access, Inc.

UAV/Drone Pilot

Cumming, GA · On-site

$25 - $35/hr

Familiarity with Google Earth, Google apps, and UAV piloting apps * Experienced with data organization, uploading, and transfer methodologies * Experience with software to automate drone flights for ...

Live Events

Drone Pilot

New Castle, PA

Operate as pilot-in-command or supporting pilot during drone light shows. * Troubleshoot and ... Google Workspace, NetSuite, HubSpot, and Monday.com are preferred.

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$49.5K

$130.9K

$201K

How much do google pilot jobs pay per year?

As of Jun 5, 2026, the average yearly pay for google pilot in the United States is $130,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Google Pilot job?

A Google Pilot job typically refers to a test or experimental role within Google that involves evaluating new technologies, software, or services before full deployment. These positions often require technical expertise and the ability to provide feedback on usability, performance, and potential improvements. The role may involve working with artificial intelligence, autonomous systems, or internal tools to assess their effectiveness. Depending on the project, Google Pilots may collaborate with engineers, product managers, and researchers.

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

To thrive as a Google Pilot, you need excellent piloting skills, FAA certification (such as a commercial pilot's license), and experience with advanced navigation and automated flight systems. Familiarity with Google-operated aircraft, GPS navigation tools, and aviation communication systems is crucial. Strong problem-solving, teamwork, and communication skills help ensure safe flights and successful project collaboration. These competencies are vital to managing complex flight operations and supporting Google's innovative aviation initiatives safely and efficiently.

What are the typical responsibilities of a Google Pilot on a daily basis?

As a Google Pilot, your daily responsibilities may include preparing flight plans, ensuring aircraft maintenance and readiness, operating Google-owned or partnered aircraft, and conducting both routine and special-purpose flights. You will collaborate with engineers, project managers, and regulatory teams to ensure flights meet company objectives and comply with aviation regulations. Attention to detail and adaptability are critical as you may also support training, testing, or technology demonstration initiatives. The work environment is dynamic and may involve travel to various locations, depending on project needs.
More about Google Pilot jobs
What cities are hiring for Google Pilot jobs? Cities with the most Google Pilot job openings:
What are the most commonly searched types of Google Pilot jobs? The most popular types of Google Pilot jobs are:
What states have the most Google Pilot jobs? States with the most job openings for Google Pilot jobs include:
What job categories do people searching Google Pilot jobs look for? The top searched job categories for Google Pilot jobs are:
Google Pilot jobs near you
Infographic showing various Google Pilot job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 9% Part Time, and 15% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $130,916 per year, or $62.9 per hour.

Customer Engineer, AI/ML, Google Cloud

Google

Austin, TX • On-site

$55.25 - $73.75/hr

Full-time

Posted 26 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Customer Engineer specializing in AI/ML for Google Cloud. The role involves partnering with technical sales teams to provide solutions, troubleshoot technical issues, and engage with customers to enhance their use of Google Cloud products.
Responsibilities:
• Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
• Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
• Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Lead the technical engagement in the solution phase.
• Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
• Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 4 years of experience with cloud native architecture in a customer-facing or support role.
• Experience identifying AI use cases to solve customer challenges or selling AI technology.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience leading workshops, developing prototypes, or conducting demonstrations for clients.
Preferred:
• Experience navigating AI infrastructure consumption models and optimizing high-throughput training/inference clusters.
• Experience implementing multi-agent systems using frameworks (e.g., A2A, LangGraph, CrewAI, AutoGen).
• Experience navigating the startup lifecycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI.
• Experience working with, and a passion for, the high-growth startup ecosystem and its typical rapid-scaling challenges.
• Knowledge of 'LLM-native' performance metrics (TTFT, tokens/sec, cost-per-request) and techniques for optimizing state management, quantization, and provisioned throughput.
• Ability to implement secure agentic workflows incorporating MCP, tool-calling, and enterprise-grade authentication.
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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