Enterprise Account Executive - Telecommunications
Databricks is hiring an Enterprise Account Executive - Telecommunications in Tokyo, Japan. Level rates it ; you can apply on Databricks.
Level's read on this job
- Level rates this sales role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Saas, sales and account management.
- Level classifies it as a senior role.
- Level lists 894 other open roles at Databricks.
AI in this role
Enterprise Account Executive selling complex software solutions including data and AI technologies in the telecommunications sector.
SLSQ427R535
As an Enterprise Account Executive your mission will be to grow one of our focus customer in Telecommunications industry. You know how to sell within the Telecommunications/Service Provider vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director, Sales in Japan.
The impact you will have:
- You will secure new logos with strategic accounts in the Telecommunications vertical.
- You will create a focused and targeted logo acquisition strategy.
- Expand Databricks use cases in existing and newly won accounts to maximize impact for customers.
- Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
- You will build value in all engagements to guide successful negotiations.
- You will plan, document, and drive the growth of Databricks usage for your customers.
- You will develop a deep and detailed understanding of the customer's business.
- Provide leadership to the customer, important staff, and technical teams.
- Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
- Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.
What we look for:
- 10+ years experience selling multi-million dollar complex software deals to the region's most recognizable organizations within the Enterprise segment.
- Selling experience to the Enterprise Telecommunications customers in Japan.
- Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem
- Background of selling usage-based SaaS solutions, or other Data/ AI/ML technologies.
- 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
- Build customer champions and collaborative teams to support the implementation of the expansion plan.
- Understanding of how to develop a clear partner strategy and manage it to success.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
How we rate this
Enterprise Account Executive - Telecommunications at Databricks rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $142k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- Tell me about a project where sales was part of your work. What did you do?
- Tell me about a project where account management was part of your work. What did you do?
- Tell me about a project where meddpicc was part of your work. What did you do?
- Tell me about a project where value selling was part of your work. What did you do?
- Walk me through how you've used Saas in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Sales, Account Management, Meddpicc, Value Selling, and Saas. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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