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- Tasks: Drive sales and develop business plans for energy accounts using AI and data solutions.
- Company: Leading data and AI company based in Greater London.
- Benefits: Comprehensive benefits package and full-time position.
- Why this job: Join a dynamic team and transform the energy sector with innovative AI solutions.
- Qualifications: Proven sales success and experience managing enterprise relationships.
- Other info: Exciting opportunity for career growth in a cutting-edge industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading data and AI company in Greater London is seeking an Enterprise Account Executive to focus on energy accounts. This mid-senior level role involves co-developing business plans, identifying impactful AI use cases, and driving customer transformation goals.
The ideal candidate will have a strong background in managing enterprise relationships, proven sales success, and experience with cloud technologies. This position offers comprehensive benefits and is full-time.
Enterprise Energy AI & Data Sales Leader in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Energy AI & Data Sales Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy sector and let them know you're on the hunt for an Enterprise Account Executive role. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by researching the company and its AI solutions. We want you to be able to discuss how you can drive customer transformation goals and identify impactful AI use cases that align with their vision.
✨Tip Number 3
Showcase your sales success stories! When you get the chance to chat with potential employers, share specific examples of how you've managed enterprise relationships and closed deals, especially in the cloud tech space.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise Energy AI & Data Sales Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Enterprise Account Executive. Highlight your experience with energy accounts and any relevant AI or cloud technology projects you've worked on. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the energy sector and how you can drive customer transformation goals. We love seeing genuine enthusiasm for what we do at StudySmarter.
Showcase Your Sales Success: Don’t forget to include specific examples of your proven sales success. Whether it's hitting targets or developing strong enterprise relationships, we want to know how you've made an impact in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Databricks
✨Know Your AI and Energy Trends
Make sure you’re up to speed with the latest trends in AI and the energy sector. Research how AI is transforming energy management and be ready to discuss specific use cases that could benefit potential clients.
✨Showcase Your Sales Success
Prepare to share concrete examples of your past sales achievements, especially in enterprise settings. Use metrics to highlight your success, such as percentage growth in accounts or successful strategies that led to closing deals.
✨Understand Cloud Technologies
Brush up on your knowledge of cloud technologies relevant to the role. Be prepared to discuss how these technologies can enhance energy solutions and how you've leveraged them in previous roles.
✨Co-Develop Business Plans
Think about how you would approach co-developing business plans with clients. Be ready to discuss your methodology for identifying customer needs and aligning them with impactful AI solutions that drive transformation.
