Germany: €120000 - €123000 (EUR) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts.
- Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory’s business.
- Collaborate 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, understand the the customer, and provide excellent prospect and customer experience.
- Develop and execute strategic account plans, including a broader enterprise plan across key industries, with a focus on building accounts.
- Manage multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, performers, 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 selling data technologies or SaaS to clients.
Preferred qualifications:
- Experience carrying and exceeding strategic business goals in a sales role.
- Experience supporting long-term executive relationships, and developing territories/accounts from scratch, while ensuring customer success, adoption and expansion.
- Experience prioritizing, planning, and organizing sales activity within complex business cycles, including qualifying accounts and leveraging partner ecosystems.
- Experience working with internal/external teams to inventory existing software estates, build cases for transformation with implementation plans, and close agreements.
- Knowledge of trends, products, and solutions in Cloud, BI, and Data and Analytics (BI fron-tend, data analytics middleware, back-end data warehouse technologies, BigQuery, Looker, Dataproc, Pub/Sub).