Level

Databricks

Enterprise Account Executive - Manufacturing

Databricks is hiring an Enterprise Account Executive - Manufacturing in London, United Kingdom. Level rates it ; you can apply on Level.

AI in this role

Drive enterprise software sales and adoption of big data and AI platforms within the manufacturing sector.

awsazuregoogle-cloud-platform
enterprise-salesbig-dataadvanced-analyticsaivalue-based-selling

SLSQ128R19

Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.

We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry.  Your mission will be to grow one of our most strategic Manufacturing customers.   

Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks 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.

The impact you will have:

  • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals
  • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
  • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement
  • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions

What we look for:

  • Experience developing strong relationships with large Enterprises global accounts,  managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts 
  • You will have experience working in Big Data/ Cloud 
  • Proof of exceeding sales quotas in high-growth Enterprise software companies
  • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams
  • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
  • You will have experience co-developing business cases and gaining support from C-level Executives
  • You will have experience of value-based selling

  

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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 click here.

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.

How we rate this

Enterprise Account Executive - Manufacturing at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Enterprise SalesBig DataAdvanced AnalyticsAIValue Based SellingAWSAzureGoogle Cloud Platform

Also common in sales jobs at this level

Pay

Typical sales job
$140k

This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs

Questions you could be asked

  1. Tell me about a project where enterprise sales was part of your work. What did you do?
  2. Tell me about a project where big data was part of your work. What did you do?
  3. Tell me about a project where advanced analytics was part of your work. What did you do?
  4. Tell me about a project where ai was part of your work. What did you do?
  5. Tell me about a project where value based selling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Enterprise Sales, Big Data, Advanced Analytics, AI, and Value Based Selling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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