Customer Engineering Manager, Data Analytics, Google Cloud

Google; Bengaluru; On-site; INR 500,000 - 1,100,000; Full time

Job summary

Google Cloud Platform team is seeking a Practice Customer Engineering Manager in Bengaluru to lead a team of subject matter experts who provide trusted technical and solution advice to accelerate workload migrations and remove blockers for customers.

You will foster technical excellence, govern data architectures, and partner with Sales to shape go‑to‑market plans for Data and AI workloads, while guiding cross‑functional collaboration with Product and Engineering.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Leadership experience (people management, team lead, mentorship, coaching).
• Experience with technical conversations, demos, prototyping, or workshops with customers.
• Experience with data and AI/ML technologies.
• Experience influencing cross-functional teams, customers, and partners to impact business goals, customer experience, and customer expansion.
• Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.
• Experience with data governance, metadata and semantic layers as a foundation for grounding AI agents in enterprise data.
• Experience driving the adoption of specialized workloads (Cloud AI, Data Analytics) with technical decision makers.
• Experience tailoring compelling messages by audience, asking strategic questions, and leading conversations that accelerate value realization and business opportunity.
• Specialized in technical sales and strategizing around holistic customer and industry solutions.

Responsibilities

• Lead Practice Customer Engineers, shaping data platform strategy, governance, and AI architectures; partner with Sales on go‑to‑market plans for Data and AI workloads and repeatable solution patterns.
• Balance technical leadership with operational excellence; drive technical wins and migration strategies with customers and prospects. Oversee prototyping and proofs‑of‑concept.
• Collaborate cross‑functionally across Google and partners to resolve technical roadblocks and provide field feedback to Product and Engineering.
• Drive technical positioning against engaging data platforms, lakehouses, and open tables, while activating unstructured and multimodal data.

Skills

Cloud native architecture

Leadership

Customer conversations

AI/ML technologies

Prototyping & demos with customers

Data governance & semantic layers

Cross-functional influence

Pre-sales management

Solution architecture

Specialized workloads (Cloud AI/Data)

Tailoring messages by audience

Technical sales strategy

Education

Bachelor's degree or equivalent practical experience

Job description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Leadership experience (e.g., people management, team lead, mentorship, coaching).
• Experience with technical conversations, demos, prototyping, or workshops with customers.
• Experience with data and AI/ML technologies.

Preferred qualifications:

• Experience influencing cross-functional teams, customers, and partners to impact business goals, customer experience, and customer expansion.
• Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.
• Experience with data governance, metadata and semantic layers as a foundation for grounding AI agents in enterprise data.
• Experience driving the adoption of specialized workloads (Cloud AI, Data Analytics) with technical decision makers.
• Experience tailoring compelling messages by audience, asking strategic questions, and leading conversations that accelerate value realization and business opportunity.
• Specialized in technical sales and strategizing around holistic customer and industry solutions.

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 Practice 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 excellence and understand the mechanics of architecture, delivery, and consumption within your specialized domain and Google Cloud’s products and solutions.

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.

Responsibilities

• Lead Practice Customer Engineers, fostering team culture, talent strategy, and skills development to build AI-ready data foundations that maximize proprietary data value. Foster partnerships and provide thought leadership on data platform strategy, governance, and agentic AI architectures. Partner with Sales on technical go‑to‑market plans for Data and AI workloads and repeatable solution patterns.
• Balance technical leadership with operational excellence; lead review meetings to drive technical wins and migration strategies with customers and prospects. Oversee prototyping and proofs‑of‑concept.
• Collaborate cross‑functionally across Google and partners to resolve technical roadblocks and provide field feedback to Product and Engineering.
• Drive technical positioning against engaging data platforms, lakehouses, and open tables, while activating unstructured and multimodal data.

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