Security Customer Engineer, Google Cloud (English, Korean)

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 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.

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 Customer Engineer, you will help grow our cyber security business by building and expanding relationships with new and existing customers. You will be a trusted advisor to customers and an advocate for our security solutions. You will provide support to C-level, security leaders, cloud security architects and security analysts, using both technical and business skill sets to lead projects forward. You will accompany customers in discovering the technology/solution and consult around the best way to secure and ensure compliance. You will optimize for results when in production, leading with empathy, while identifying innovative ways to multiply the impact of the team.

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

• Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
• Work directly 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 complete solutions using best practices on Google Cloud.
• Share security experience to support the technical relationship with customers, including product and solution briefings and proof-of-concept work, partnering with product management to prioritize solutions impacting customer engagement with Google Cloud.
• Support customer-facing presentations and conduct workshops to share the experience and be a subject matter expert on cyber security.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in a technical sales engineering role in security or cloud native environments.
• Experience in cybersecurity (e.g., network security, SoC platform, threat detection, malware intelligence, cloud security posture management, or identity and access management systems).
• Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions with local stakeholders.

Preferred qualifications:

• Certification in Cloud or Security industry.

• Experience in building and managing AI-driven threat detection and security analytics solutions on Cloud.

• Experience developing programs/scripts in Python, Java, C++.

• Experience in architecture and developing software for scalable, distributed systems.

• Knowledge of public cloud platforms and technical concepts such as Security, AI, PaaS, SaaS, IaaS, and related industry topics.

• Ability to lead architecture discussions and influence key decision makers around deployment topologies, scaling, performance and sizing.