refresh

Trending companies

Trending companies

Jobs

JobsGoogle

Customer Engineer, National Security

Google

Customer Engineer, National Security

Google

·

On-site

·

Full-time

·

1w ago

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Customer Engineer in the federal public sector space, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud.

In this role, you will help us organize America's National Security information and make it privately accessible and useful.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.

  • Share in-depth enterprise infrastructure modernization expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.

  • Guide customers through assessments of existing legacy application environment(s) and provide recommendations on a prioritization roadmap for infrastructure and application modernization.

  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 10 years of experience with cloud native architecture in a customer-facing or support role.

  • Experience in designing, developing, and deploying solutions that leverage or integrate generative AI.

  • Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.

  • Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.

  • Must possess an active Top Secret/SCI security clearance.

Preferred qualifications

  • Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.

  • Experience managing the entire sales cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).

  • Experience building long-term technical strategies to uncover new workloads with customers.

  • Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).

  • Experience prospecting, building and maintaining customer relationships from scratch, with excitement for building out Greenfield territories.

Total Views

0

Apply Clicks

0

Weekly mock applicants

0

Bookmarks

0

About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense