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Job Description
Data Analytics Sales Specialist, Energy
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.
About the Job
We are seeking a motivated and experienced Data and AI Sales Specialist to join our dynamic team, focusing on the Energy sector with a primary emphasis on the Oil and Natural Gas segment on the Google Cloud team. This is an opportunity to act as an executive seller, and data and AI subject-matter-expert for some of the most prominent energy companies in the world.
In this role, you will be the go-to expert for our customers' data modernization and AI transformation journeys. You will leverage your industry knowledge and business acumen to identify and qualify opportunities, build and maintain executive-level relationships, and drive the adoption of Google Cloud's data platform. You will be instrumental in helping energy companies harness the power of data to enhance operations, enhance decision-making, and drive innovation.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and collaborating on the direction of accounts.
- Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting your territory’s business.
- Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, represent the customer, and provide excellent prospect and customer experience.
- Develop Analytics solution road maps with customers, understanding their unique requirements on a business and technical level.
- Work with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.
Minimum Qualifications
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software or cloud space.
- Experience developing and executing a sales plan for the assigned territory in the Energy (Oil and Natural Gas) vertical.
- Experience selling data analytics or data management technologies to clients.
Preferred Qualifications
- Experience carrying and exceeding business goals in a sales role.
- Experience prioritizing and planning business activity and transformation strategies within business cycles aligned to Data and Analytics.
- Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
- Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
- Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.
Compensation
The US base salary range for this full-time position is $138,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Equal Opportunity Statement
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Key skills/competency
- Data Analytics Sales Specialist
- Energy Sector Sales
- Oil and Natural Gas Vertical
- Enterprise Software Sales
- Cloud Sales
- Data Analytics Technology
- Sales Planning
- Executive Relationship Management
- Business Development
- Google Cloud Platform
How to Get Hired at Google
- Tailor your resume: Highlight your 10+ years of enterprise software/cloud sales experience and specific success in the Energy vertical, particularly Oil and Gas. Quantify achievements related to sales plans and technology sales.
- Craft a compelling application: Emphasize your experience selling data analytics or data management technologies and your ability to develop and execute sales plans. Showcase your knowledge of Google Cloud's data and analytics products if applicable.
- Prepare for interviews: Be ready to discuss your experience exceeding business goals, strategic planning, and executive relationship management. Practice articulating how you would approach developing new territories and ensuring customer success.
- Demonstrate industry expertise: Research current trends, products, and solutions in Cloud and Data and Analytics relevant to the Energy sector. Be prepared to discuss specific Google Cloud offerings like BigQuery and Looker.
- Showcase collaboration skills: Highlight your experience working with internal and external teams, including customer engineering, marketing, and legal, to close complex deals.
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