Customer Engineer, AI/ML, Healthcare, Life Sciences, and Cloud Solutions - Technical Sales and Machine Learning Expertise

Join the Google Cloud Platform Team as a Customer Engineer, AI/ML, HCLS

Are you a seasoned technical sales professional with a passion for machine learning and cloud computing? Do you have a strong background in engaging with technical stakeholders and executive leaders? Are you excited about the prospect of working with cutting-edge technology and helping customers transform their businesses? If so, we invite you to apply for the Customer Engineer, AI/ML, HCLS position on our Google Cloud Platform team.

About Google Cloud Platform

Google Cloud Platform is a leading provider of cloud computing solutions, helping customers transform and build what's next for their business. Our products are engineered 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.

Our Mission

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 helping shape the future of businesses of all sizes use technology to connect with customers, employees, and partners. You will work closely with Technical Sales teams as a machine learning subject matter expert to differentiate Google Cloud to our customers.

Key Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop strategies to resolve technical blockers.
• Provide machine learning expertise to support the technical relationship with Google's customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work 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 implement a complete solution using best practices on Google Cloud.
• Travel to customer sites, conferences, and other related events as needed.

Essential Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 10 years of experience as a pre-sales engineer at an enterprise technology company or a similar customer-facing role.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
• Experience with big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB).

Preferred Qualifications

• Master's degree in Computer Science, or a related technical field.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks).
• Experience in architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in data and information management as it relates to big data trends and issues within businesses.
• Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.

Skills and Competencies

To succeed in this role, you will need to possess a unique combination of technical, business, and interpersonal skills. These include:

• Strong technical skills in machine learning, big data, and cloud computing.
• Excellent communication and presentation skills, with the ability to engage with technical stakeholders and executive leaders.
• Business acumen and the ability to understand customer needs and develop solutions to meet those needs.
• Collaboration and teamwork skills, with the ability to work effectively with cross-functional teams.
• Adaptability and flexibility, with the ability to learn quickly and work in a rapidly changing environment.

Career Growth Opportunities and Learning Benefits

At Google, we are committed to helping our employees grow and develop their skills. As a Customer Engineer, AI/ML, HCLS, you will have access to a wide range of learning opportunities, including:

• Formal training programs and workshops.
• On-the-job training and mentorship.
• Industry conferences and events.
• Online courses and tutorials.

Work Environment and Company Culture

Google is a dynamic and innovative company with a strong culture of collaboration and teamwork. As a Customer Engineer, AI/ML, HCLS, you will be part of a global team working on cutting-edge technology solutions. Our work environment is fast-paced and dynamic, with a focus on innovation and customer satisfaction.

Our Hybrid Workplace

Google's hybrid workplace includes remote and in-office roles. We offer flexible working arrangements, including remote work options, to support our employees' work-life balance.

Compensation, Perks, and Benefits

We offer a comprehensive compensation package, including:

• Competitive salary range: $139,000-$213,000 + bonus + equity + benefits.
• Opportunities for career growth and professional development.
• Access to cutting-edge technology and tools.
• Flexible working arrangements, including remote work options.
• Comprehensive benefits package, including health, dental, and vision insurance.

Conclusion

If you are a motivated and experienced technical sales professional with a passion for machine learning and cloud computing, we encourage you to apply for the Customer Engineer, AI/ML, HCLS position on our Google Cloud Platform team. This is a unique opportunity to work with cutting-edge technology, help customers transform their businesses, and grow your career in a dynamic and innovative company.

Don't miss this opportunity to join our team and shape the future of businesses of all sizes!

Apply Now