Enterprise AI Data Sales Executive

Enterprise AI Data Sales Executive

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Alation

At a Glance

  • Tasks: Drive seven-figure deals and engage with top executives in global brands.
  • Company: Alation, a leader in data intelligence with a focus on innovation.
  • Benefits: Competitive salary, performance bonuses, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on cutting-edge technology and strategic partnerships.
  • Why this job: Make a significant impact in the data intelligence space while working with industry leaders.
  • Qualifications: Proven sales experience and strong communication skills.

The predicted salary is between 63000 - 77000 £ per year.

Alation, the leader in data intelligence, seeks a high-impact Enterprise Account Executive to drive seven-figure deals with global brands.

You’ll engage CDOs and CIOs, articulating value of Data Catalog, Governance, and AI-powered discovery, and own complex multi-stakeholder cycles.

You’ll partner with product, marketing and deployment teams, leverage hyperscale partnerships, and apply MEDDPICC and value-based selling.

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Enterprise AI Data Sales Executive employer: Alation

Alation is an exceptional employer that fosters a dynamic and collaborative work culture in its London office, where employees thrive in a hybrid model. With a strong focus on employee growth, the company offers clear career progression paths and the opportunity to engage with senior decision-makers, making it an ideal place for those looking to build a meaningful career in tech sales. Join us to be part of a pioneering team driving innovation in data intelligence while enjoying the benefits of a supportive and inclusive environment.

Alation

Contact Details:

Alation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise AI Data Sales Executive

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Apply Directly through Our Website

When you find a suitable opening like Enterprise AI Data Sales Executive at Alation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Enterprise AI Data Sales Executive

Sales Skills
Account Management
Stakeholder Engagement
Value-Based Selling
MEDDPICC
Data Governance
AI-Powered Solutions

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Alation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Alation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Alation

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Alation!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.