At a Glance
- Tasks: Drive growth in professional service accounts and develop unique big data solutions.
- Company: Join Databricks, a leading data and AI company trusted by over 10,000 organisations globally.
- Benefits: Enjoy comprehensive benefits, remote work options, and a commitment to diversity and inclusion.
- Why this job: Be part of a dynamic team solving real-world problems with cutting-edge technology and innovation.
- Qualifications: Experience in enterprise software sales, strong relationships with executives, and knowledge of Data & AI.
- Other info: Mid-senior level role with full-time employment in a vibrant, inclusive culture.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Enterprise Account Executive - Professional Services role at Databricks. Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks.
As an Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Professional Services sector. Reporting to the Sales Director, you will be focused on the growth of professional service accounts.
The Impact You Will Have
- You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the PBS segment.
- You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals.
- You will motivate a diverse team of big data and AI professionals to implement your business plan.
- You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform.
- You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement.
- You will build exceptional value with all engagements to guide successful negotiations to close.
What We Look For
- Experience in direct sales of enterprise software platforms to large enterprises.
- Ownership of executive level relationships in your clients.
- Proven track record of developing new business.
- Extensive experience of working with large complex regulated organisations.
- Knowledge of the Data & AI space with technology sales experience.
- Longevity with previous employers.
- Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts.
- Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams.
- Methods for co-developing business cases and gaining support from C-level Executives.
- Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message).
- Experience developing partnerships with "champions" and client teams to support execution of your territory plan.
- Experience developing a clear partner strategy and implement it to achieve success.
- Understanding of consumption-based, land and expand sales models advantageous.
- Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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.
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.
Enterprise Account Executive - Professional Services employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Account Executive - Professional Services
✨Tip Number 1
Familiarise yourself with the latest trends in big data and AI. Understanding the current landscape will help you engage in meaningful conversations with potential clients and demonstrate your expertise during networking opportunities.
✨Tip Number 2
Build relationships with key players in the industry, especially those who have experience with enterprise software sales. Networking can lead to valuable insights and referrals that may give you an edge in your application process.
✨Tip Number 3
Prepare to discuss specific use cases where you've successfully implemented big data solutions in previous roles. Being able to share concrete examples will showcase your ability to drive results and resonate with the hiring team.
✨Tip Number 4
Research Databricks thoroughly, including their products and recent developments. Tailoring your discussions to align with their mission and values will demonstrate your genuine interest in the company and the role.
We think you need these skills to ace Enterprise Account Executive - Professional Services
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Enterprise Account Executive position. Tailor your application to highlight relevant experience in direct sales of enterprise software and your knowledge of the Data & AI space.
Craft a Compelling CV: Your CV should clearly showcase your achievements in previous roles, particularly focusing on quota over-achievement and your experience with large enterprises. Use metrics to demonstrate your success in driving business growth and developing executive-level relationships.
Write a Strong Cover Letter: In your cover letter, express your passion for big data and AI, and explain how your background aligns with Databricks' mission. Highlight specific examples of how you've successfully co-developed business cases and engaged with C-level executives in past roles.
Showcase Your Knowledge: During the application process, be prepared to discuss your familiarity with sales methodologies and processes relevant to the role. Mention any experience you have with consumption-based sales models and how you've identified impactful use cases for clients.
How to prepare for a job interview at Databricks
✨Showcase Your Industry Knowledge
As an Enterprise Account Executive, it's crucial to demonstrate a deep understanding of the Big Data and AI landscape. Prepare to discuss current trends, challenges, and opportunities in the industry, and how Databricks can uniquely address these.
✨Prepare Compelling Use Cases
Be ready to present specific use cases that highlight how you've successfully implemented solutions in previous roles. Tailor these examples to reflect the needs of professional services clients, showcasing your ability to drive value.
✨Highlight Your Relationship Management Skills
Since this role involves managing executive-level relationships, come prepared with examples of how you've built and maintained strong partnerships. Discuss your strategies for engaging C-level executives and gaining their support.
✨Demonstrate Your Sales Methodology Knowledge
Familiarity with sales methodologies like MEDDPICC or Challenger Sales is essential. Be prepared to discuss how you've applied these frameworks in your previous roles to achieve success in complex sales environments.