Google

Customer Engineering Manager, Data Analytics, Google Cloud

Google$192K — $267K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

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 pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
  • Ability to travel up to 25% to customer sites.
  • Technical sales experience in cloud computing or data analytics is preferred.
  • People management experience leading technical teams for Cloud Computing or Data Analytics products.
  • Thought leader in Data Analytics and adjacent practice areas.

Responsibilities

  • Lead a team of Data Analytics technical experts focusing on skills development and market readiness.
  • Manage the Data Analytics technical community to enhance contributions and innovation sharing.
  • Influence cross-functional teams to align customer needs with product development.
  • Guide the team in using Google Cloud Platform for showcasing AI products in customer environments.
  • Cultivate high-impact relationships with customers influencing Data and AI technology decisions.

Benefits

  • 42.86% bonus target equity benefits.
  • Opportunity to work in various locations across the U.S.
  • Exposure to cutting-edge Google technologies.
  • Access to a vibrant community of professionals in Data Analytics and Cloud Computing.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Miami, FL, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA.

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 pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
  • Ability to travel up to 25% to customer sites.

Preferred qualifications:
  • Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
  • People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
  • Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
  • Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.


About the job

As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $267000 (USD) 42.86% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
  • Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
  • Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
  • Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
  • Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.


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 .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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