Enterprise Account Executive - Named Accounts Public Sector in London
Enterprise Account Executive - Named Accounts Public Sector

Enterprise Account Executive - Named Accounts Public Sector in London

London Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive data and AI adoption in public sector enterprises with a dynamic sales strategy.
  • Company: Join Databricks, a leading data and AI company trusted by top global organisations.
  • Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
  • Why this job: Make a real impact by solving tough problems with cutting-edge technology.
  • Qualifications: Experience in business development and public sector sales is essential.
  • Other info: Be part of a diverse team committed to innovation and excellence.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Join to apply for the Enterprise Account Executive – Named Accounts Public Sector role at Databricks. Do you want to help solve the world's toughest problems with Data and AI? This is what we do every day at Databricks.

Reporting to the Enterprise Sales Leader for Public Sector, you will partner with a team of accomplished data, AI, and industry specialists. Your mission is to drive the adoption of Databricks within public sector enterprise organisations. You will bring an informed and compelling point of view on data and advanced analytics to shape a successful go‐to‐market strategy and, in close collaboration with internal teams and partners, deliver exceptional value to a small set of large, well‐known enterprise customers, with a focused growth across two strategic accounts.

The Impact You Will Have

  • Assess your accounts and develop a strategy to identify and engage all buying centres, guiding deals forward to compress decision cycles.
  • Use a solution‐based approach to selling and creating value for new logo accounts.
  • Identify and close quick, small wins while managing longer, complex sales cycles.
  • Support the broader Data and AI transformation goals of your customers through a combination of strategic partnerships, well‐scoped professional services, training and targeted Executive engagement.
  • Build exceptional value with all engagements to guide successful negotiations to close.
  • Orchestrate and work with teams to maximise the impact on your ecosystem.
  • Own the consumption story with your customers, using demand plans to identify the most viable use cases in each account to maximise Databricks' impact.
  • Be customer focused by delivering technical and business results using the Databricks Intelligence Platform.

What We Look For

  • Strong background in growth & new business development, closing experience and quota over‐achievement when selling to public sector accounts.
  • Experience of public sector procurement frameworks and mechanisms.
  • Sales experience within Cloud software, open source technology, or Data and AI space.
  • Experience driving successful adoption of usage‐based subscription services (SaaS) and co‐selling with AWS, Azure and Google Cloud teams.
  • Understanding of how to identify all key use cases and buying centres in an opportunity to increase the impact and business value of Databricks in an organisation.
  • Methods for co‐developing business cases and gaining support from C‐level Executives.
  • Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
  • Understanding of consumption‐based land and expand sales models.
  • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting.

We value demonstrated contributions and a consistent track record. Eligibility for SC clearance (existing clearances held would be an advantage).

About Databricks

Databricks is the data and AI company. More than 10,000 organisations worldwide — including Comcast, CondĂ© Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratise 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 SparkTM, Delta Lake and MLflow.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‐economic status, veteran status, and other protected characteristics.

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.

Seniority level: Mid‐Senior level

Employment type: Full‐time

Job function: Software Development

Enterprise Account Executive - Named Accounts Public Sector in London employer: Databricks

Databricks is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to tackle the world's toughest challenges with data and AI. With a strong commitment to diversity and inclusion, comprehensive benefits, and ample opportunities for professional growth, Databricks fosters a collaborative culture that values each team member's contributions. Located in San Francisco, employees benefit from being at the heart of a vibrant tech hub, surrounded by industry leaders and cutting-edge advancements.
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Contact Detail:

Databricks Recruiting Team

StudySmarter Expert Advice đŸ€«

We think this is how you could land Enterprise Account Executive - Named Accounts Public Sector in London

✹Tip Number 1

Network like a pro! Reach out to your connections in the public sector and let them know you're on the hunt for an Enterprise Account Executive role. A friendly chat can lead to insider info or even a referral, which can give you a leg up.

✹Tip Number 2

Do your homework on Databricks! Familiarise yourself with their products and how they impact the public sector. This will help you tailor your conversations and show that you're genuinely interested in helping solve their toughest problems with data and AI.

✹Tip Number 3

Practice your pitch! Prepare a compelling narrative about how your experience aligns with the role. Focus on your successes in growth and new business development, especially in the public sector, to demonstrate your value.

✹Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're proactive and serious about joining the Databricks team.

We think you need these skills to ace Enterprise Account Executive - Named Accounts Public Sector in London

Growth & New Business Development
Public Sector Sales Experience
Cloud Software Sales
Data and AI Knowledge
SaaS Adoption
Co-Selling with AWS, Azure, Google Cloud
Account Planning
MEDDPICC Methodology
Value Selling
Accurate Forecasting
Building Collaborative Teams
C-Level Executive Engagement
Understanding of Procurement Frameworks
Consumption-Based Sales Models
Strategic Partnerships

Some tips for your application đŸ«Ą

Tailor Your Application: Make sure to customise your CV and cover letter for the Enterprise Account Executive role. Highlight your experience in public sector sales and how it aligns with our mission at Databricks.

Showcase Your Achievements: We love seeing quantifiable results! Include specific examples of how you've driven growth and closed deals in your previous roles, especially within the public sector.

Be Authentic: Let your personality shine through in your application. We value diversity and want to see the real you, so don’t be afraid to share your unique perspective on data and AI.

Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, we can easily track your application and get back to you quicker!

How to prepare for a job interview at Databricks

✹Know Your Accounts Inside Out

Before the interview, dive deep into the public sector accounts you'll be working with. Understand their specific needs, challenges, and how Databricks can provide solutions. This will help you articulate a compelling strategy during your interview.

✹Showcase Your Sales Methodology Knowledge

Familiarise yourself with sales methodologies like MEDDPICC and Value Selling. Be ready to discuss how you've applied these in past roles, especially in complex sales cycles. This demonstrates your ability to drive successful adoption and close deals effectively.

✹Highlight Your Collaborative Spirit

Emphasise your experience in building effective partnerships and working collaboratively with teams. Share examples of how you've engaged with C-level executives and other stakeholders to support your territory plan. This shows you're a team player who can orchestrate efforts for maximum impact.

✹Prepare for Technical Discussions

Brush up on the technical aspects of the Databricks Intelligence Platform and its applications in data and AI. Be prepared to discuss how you can deliver technical and business results for customers, as this will be crucial in demonstrating your customer-focused approach.

Enterprise Account Executive - Named Accounts Public Sector in London
Databricks
Location: London
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  • Enterprise Account Executive - Named Accounts Public Sector in London

    London
    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • D

    Databricks

    1000-5000
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