At a Glance
- Tasks: Manage flagship enterprise accounts and drive growth through strategic partnerships.
- Company: Leading Data & AI company in Greater London with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, and opportunities for professional development.
- Why this job: Engage with C-suite stakeholders and make a real impact in the retail sector.
- Qualifications: Experience with large global accounts and a background in Big Data or SaaS.
- Other info: Dynamic role with exceptional sales performance opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A leading Data & AI company in Greater London is seeking a Strategic Account Executive to manage a flagship enterprise account and drive sustained growth. This role involves building deep relationships with C-suite stakeholders and translating business priorities into measurable Data & AI outcomes.
Candidates must have proven experience with large global accounts and a strong background in Big Data or SaaS environments. The position offers a unique opportunity to engage in high-level strategic partnerships and drive exceptional sales performance.
Enterprise Data & AI Account Executive - Retail Growth employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data & AI Account Executive - Retail Growth
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. Building relationships can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Research the company inside out. Understand their products, culture, and recent news. This knowledge will help you tailor your conversations and show that you're genuinely interested in their mission.
✨Tip Number 3
Practice your pitch! Be ready to articulate how your experience aligns with their needs, especially in managing large accounts and driving growth. Confidence is key when speaking to C-suite stakeholders.
✨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 Data & AI Account Executive - Retail Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with large global accounts and any relevant Big Data or SaaS projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Enterprise Data & AI Account Executive role. Share specific examples of how you've built relationships with C-suite stakeholders and driven growth in previous roles.
Showcase Your Achievements: Don't just list your responsibilities; showcase your achievements! Use metrics and data to demonstrate how you've contributed to sales performance and strategic partnerships in the past. We love numbers that tell a story!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we can't wait to hear from you!
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Stuff
Make sure you brush up on the latest trends in Data & AI, especially as they relate to retail growth. Understand how big data and SaaS can impact business outcomes, and be ready to discuss specific examples from your past experience.
✨Build Rapport with C-Suite
Since you'll be dealing with high-level stakeholders, practice how to establish trust and rapport quickly. Think about how you can relate their business priorities to your solutions, and prepare some thoughtful questions that show you understand their challenges.
✨Showcase Your Success Stories
Prepare to share concrete examples of how you've driven growth in previous roles, particularly with large global accounts. Use metrics and outcomes to illustrate your impact, and be ready to explain how those experiences will translate to success in this new role.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that demonstrate your strategic thinking. Inquire about the company's vision for the future of Data & AI in retail, or how they measure success in their partnerships. This shows you're not just interested in the role, but also in contributing to their long-term goals.