Practice Customer Engineer, Data Analytics, Startups, 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 with "Big Data" technologies or concepts (e.g., analytics

warehousing, data processing, data transformation, data governance, data

migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations,

batch versus streaming).

* Experience engaging with, or presenting to, technical stakeholders or

executive leaders.

* Experience using programming languages (e.g., Python, Spark, SQL) to demo,

prototype, or workshop with customers.

PREFERRED QUALIFICATIONS:

* Experience in technical sales or consulting in cloud computing, data

analytics, and Big Data.

* Experience with developing data warehousing, data lakes, batch/real-time

event processing, streaming, data processing (ETL/ELT), data migrations, data

visualization tools, and data governance on cloud native architectures.

* Experience with architecture design, implementing, tuning, schema design, and

query optimization of scalable and distributed systems.

* Experience understanding customer requirements with the ability to break down

requirements and design technical architectures.

* Experience with cloud computing (e.g., infrastructure, storage, platforms,

data) and the cloud market, competitive dynamics, and customer buying

behavior.

ABOUT THE JOB:

When leading companies choose Google Cloud, it's a huge win for spreading the

power of cloud computing globally. Once educational institutions, government

agencies, and other businesses sign on to use Google Cloud products, you come in

to facilitate making their work more productive, mobile, and collaborative. You

listen and deliver what is most helpful for the customer. You assist fellow

sales Googlers by problem-solving key technical issues for our customers. You

liaise with the product marketing management and engineering teams to stay on

top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineer (CE) with a specialty in Cloud AI, you will

partner with technical sales teams as a data analytics subject matter expert to

differentiate Google Cloud to our startup customers. You will serve as a

technical expert responsible for accelerating technical wins and adoption of

complex, specialized workloads. You will leverage your deep expertise in our

most strategic product areas, in partnership with Platform CEs, to be writing

code to develop prototypes, proofs-of-concept, and demos to sell new, highly

specialized solutions to customers. You will solve AI-centered customer

challenges and provide a critical feedback loop to influence product

development.

You will have excellent organizational, communication, and presentation skills,

engaging with customers to understand their business and technical requirements,

and present solutions on Google Cloud. You will blend sales expertise, market

knowledge, and technical engagement to prove the value of the Google Cloud

portfolio.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI

revolution for businesses worldwide. You’ll excel by leveraging Google's brand

credibility—a legacy built on inventing foundational technologies and proven at

scale. We’ll provide you with the world's most advanced AI portfolio, including

frontier Gemini models, and the complete Vertex AI platform, helping you to

solve business problems. We’re a collaborative culture providing direct access

to DeepMind's engineering and research minds, empowering you to solve customer

challenges. Join us to be the catalyst for our mission, drive customer success,

and define the new cloud era—the market is yours.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Drive the technical win for complex workloads within Data Analytics to ensure

rapid and successful adoption, primarily supporting the sales cycle from use

case identification, technical evaluation, and through customer ramp.

* Combine sales strategies and direct development and prototyping to provide

functional, customer-tailored solutions that secure buy-in from customer

domain experts.

* Provide deep technical consultation to customers, acting as a technical

advisor and building lasting customer relationships.

* Leverage learnings from customer engagements to contribute to reusable

solutions and assets with the Go-To-Market team.

* Provide critical feedback from customer engagements to Product and

Engineering teams to improve architectures and solutions. Work within Product

and Engineering management systems to document, prioritize and drive

resolution of customer feature requests and issues.