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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: Strong enterprise relationship management and proven sales success required.
- 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 employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Energy AI & Data Sales Leader
✨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. Personal referrals can make all the difference, so don’t be shy about asking for introductions.
✨Tip Number 2
Research the company inside out. Understand their AI solutions and how they impact the energy sector. This knowledge will help you tailor your conversations and show that you're genuinely interested in driving customer transformation goals.
✨Tip Number 3
Prepare for interviews by practising common questions related to enterprise sales and cloud technologies. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your proven sales success.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Enterprise Energy AI & Data Sales Leader
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 technologies you've worked with. 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.
Showcase Your Sales Success: Don’t be shy about your achievements! Include specific examples of your proven sales success, especially in managing enterprise relationships. We’re looking for someone who can hit the ground running, so let us know what you’ve accomplished!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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 contract negotiations.
✨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 strategy for identifying customer needs and aligning them with impactful AI solutions during the interview.
