Job Opportunity at Google to Work as a Sales Engineer, Machine Learning, Retail, Google Cloud in USA

DÉTAILS OPPORTUNITÉ

Récompense totale

0 $

Organisation à but non lucratif

Google

Région

Amérique

Pays hôte

États-Unis

Date limite

03 juil. 2020

Niveau d'études

Premier cycle

Type d'opportunité

Emploi

Spécialités

Cycle ingénieur , Informatique et sciences technologiques

Financement d'opportunité

Financement complet

Pays éligibles

Algérie , Comores , Egypte , Jordanie , Liban , Mauritanie , Oman , Qatar , Soumalie , Syrie , Émirats arabes unis , bahrain , Djibouti , Iraq , Kuwait , Libya , Maroc , Palestine , Arabie Saoudite , Soudan , Tunisie , Yemen

Région éligible

Toutes les régions

Google requires sales engineer, machine learning, retail, google cloud in USA. The google cloud platform team helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a sales engineer in the retail vertical, you will work hand-in-hand with technical sales teams as a machine learning subject matter expert to differentiate google cloud to the customers. You will help prospective customers and partners understand the power of google cloud, explaining technical features, helping customers design architectures, and problem-solving any potential roadblocks. Additionally, you will have the opportunity to help customers to leverage specialized machine learning (ML) hardware developed by Google (e.g., Tensor Processing Unit). In this role, you will work closely with customers and product development to shape the TPU platform. Google cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business all with technology built in the cloud.

Eligibility:

You must have:

Bachelor's degree in computer science, electrical engineering, or equivalent experience.
5 years of experience as a technical sales engineer in a cloud computing environment or in a customer-facing role within a professional services/systems engineering team.
Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).
Experience delivering technical pitches.

It's preferred to have:

Master's degree in computer science or other technical field.
Experience in, and understanding of, data and information management as it relates to big data trends and issues within businesses.
Knowledge of retail technology solutions and ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
Experience in building and deploying machine learning and deep learning solutions with excellent foundations of the underlying models.
Experience architecting and developing software or infrastructure for scalable, distributed systems.

Your Responsibilities:

You will:

Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide in-depth machine learning expertise to support the technical relationship with google’s customers, including product and solution briefings and proof-of-concept work.
Partner directly with product management to prioritize solutions impacting customer adoption to google cloud.
Work hands-on with customers to demonstrate and prototype google cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on google cloud.
Travel to customer sites, conferences, and other related events.

About Google:

Google is an American multinational technology company specializing in internet-related services and products that include online advertising technologies, search, cloud computing, and software.

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