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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 jobAs 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.
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.
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