Total 2 job vacancies by Google Asia Pacific Pte. Ltd.

Product area

The Go-to-Market Operations (GtM) team ensures Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting go-to-market strategy, and ensuring flawless execution and operations against the strategy. We have teams embedded in each of the major Ads business areas as well as global teams that work across the business areas. Team members are analytical and strategic, with a pragmatic sense of how to get things done.

Job description

In this role, you will partner with the Asia Pacific (APAC) President and play an important role in influencing strategy related to Google’s complex and ever-evolving business in APAC, as well as ensuring flawless execution and operations against the strategy. You will operationalize and manage complex, multidisciplinary projects to execute on a goal or strategy, and play an instrumental role in bringing together stakeholders across multiple functions and managing project schedules, communications and deliverables.

Qualifications

Job responsibilities

• Manage and deliver strategic projects for executives in Large Customer Sales (LCS), work to set objectives, manage progress check ins and communications to the teams.
• Plan and manage the LCS organisational set-up and resource allocation (Headcount and OPEX) across teams.
• Collaborate, influence, and advise executive leaders across Google on key initiatives. Build strong relationships and connect with executive leaders in other areas to ensure alignment and collaboration. Be a trusted advisor and thought partner for leadership.
• Implement frameworks to measure and improve the quality and maturity of business processes. Ensure APAC LCS has clear priorities, Objectives and Key Results (OKR), up-to-date roadmaps, and regular progress updates.
• Lead communications across the organization, including announcements, events, and go-to-market activities. Establish regular processes for the team, ensure alignment on strategy among leaders, manage special projects, and handle escalations.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in management consulting, investment banking/private equity/venture capital, corporate strategy, sales operations, or equivalent experience in a technology/media company.

Preferred qualifications

• MBA or Graduate degree in a quantitative, business, or a technical field, or equivalent practical experience.
• Experience in a Chief of Staff role, or a similar role requiring leadership of varied strategic and operational initiatives while working with executive leaders.
• Ability to lead complex operational and strategic initiatives and to collaborate with ideas, energy and determination.
• Ability to be an independent and strategic thinker.
• Excellent influencing and stakeholder management skills.
• Excellent communication with strong presentation skills.

Product area

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.

Job description

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.

Additional job description

Work with Security Sales and Google Cloud teams to identify and qualify business opportunities, understand customer technical and compliance objections, and develop strategies to resolve technical blockers.

Qualifications

Job responsibilities

• Partner closely with Small- and Medium business (SMB) and Field Sales Engineering, Inside Sales, and Sales Development teams to identify and technically qualify opportunities.
• Drive technical aspects of solutions, including customer meetings, product demonstrations, and executive briefings.
• Leverage in-depth knowledge of Google Cloud Security products to build integrations, proofs-of-concept, and compelling demos for customers and partners.
• Effectively convey the value proposition of Google Cloud Security solutions through presentations, product demonstrations, white papers, trial management, and response documents.
• Travel to customer sites, conferences, and relevant events to represent the technical capabilities of Google Cloud Security as required.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in a technical sales engineering role in security or cloud native environments.
• Experience in cybersecurity technical solutions: SIEM/SOAR (EDR, XDR), Threat Intelligence (threat detection, malware intelligence, attack surface management), Cloud Security (CSPM, CWPP, CNAPP, or identity and access management systems).
• Experience in selling security consulting services.

Preferred qualifications

• Master's degree in Computer Science, Engineering, or Mathematics.
• Cloud or Security industry certifications.
• Experience in implementing security solutions for enterprises (e.g., SIEM/SOAR, threat detection and hunting, malware intelligence, cloud security posture management, or identity and access management systems).
• Knowledge of product and solution market trends in the cybersecurity industry.
• Understanding of solution architecture within web and mobile environments and of web/internet related technologies, architecture across SAAS, PAAS and IAAS and cloud productivity suites.
• Familiarity with architecture and operational aspects of large scale distributed systems. Familiarity with the popular technologies in the machine learning/big data ecosystem.