About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed 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. 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 help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Data Analytics Sales Specialist Manager, you will lead a team responsible for growing our Data Analytics business by building and expanding relationships with new and existing customers. You will effectively build relationships with internal stakeholders (e.g., Field Sales, Customer Engineering, Solution Architecture, Product) and customers, supporting the team to do the same. You will ensure your team has the necessary selling skills to demonstrate product functionality and comprehensive overviews of key business use cases, and close business. You will support a positive, high-performing team culture, while leading with empathy and identifying ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.

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

• Foster a positive and high-performing team culture, support the team to drive a pipeline, manage business-cycles from lead generation to customer onboarding, and meet and exceed business goals.

• Develop and own the go-to-market (GTM) plan to scale and impact your business in key areas, including business, new customer growth, expansion, and referenceability.

• Partner with Field Sales, Marketing, Customer Engineering, Customer Success, Channels, Product, and Engineering to understand customers needs, impact messaging and collateral, and provide excellent prospect and customer experience.

• Expand relationships to influence long-term tactical direction and be a trusted advisor to your team and their accounts. Inspire executives at prospective customers to partner with Google.

• Represent your business in forecasts, town halls and meetings, report forecasts and business performance in Salesforce and other tools.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 12 years of experience in a sales role in the enterprise software or cloud space.

• Experience selling data analytics or data management technologies to clients.

• Experience with relevant technical stacks and Google Cloud Data Analytics offerings (e.g., Predictive Analytics, Hadoop/Spark Data lakes).

• Experience in a leadership role within a quota-carrying team, such as people management, team lead, mentorship or coaching.

Preferred qualifications

• Experience with people and business management, supporting career development of a high-performing sales team and business growth.

• Experience planning and organizing go-to-market strategies, business programs, and sales activity within the team and territory.

• Experience in, or supporting, travel, logitstics, energy, or manufacturing industries.

• Experience influencing cross-functional teams to impact business goals, customer experience, and expansion.

• Understanding of products, solutions, and market trends, with the investigative abilities to analyze sales performance data or market changes, to drive direction.

• Excellent problem-solving, communication, presentation, listening, and program management skills.