Enterprise Account Executive – Utilities

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

Level's read on this job

Level rates this sales role Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include AWS, Azure and Google Cloud.
Level classifies it as a senior role.
Level lists 894 other open roles at Databricks.

AI in this role

Drive enterprise software and data/AI platform sales within the Utilities sector at Databricks.

awsazuregoogle-cloud

enterprise-salesaccount-managementutilities-domaindata-and-ai-solutionssaas-sales

SLSQ427R432

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

We are looking for a creative, execution-oriented Enterprise Account Executive to join our UKI team and maximize the phenomenal market opportunity within the Utilities sector. Your mission will be to grow a select group of our most strategic enterprise accounts. Experience selling into the Utilities industry and managing large, complex, multi-national accounts is essential.

Reporting to the Director of Telco and Utilities (UKI), you will bring an informed, compelling point of view on Data, Analytics, and AI to guide your strategy and deliver exceptional customer value alongside our internal teams and partner ecosystem.

The Impact You Will Have

Drive Revenue & Growth: Co-develop a strategic business plan with your team and partners to exceed quarterly and annual usage and booking goals across a focused set of enterprise accounts.
Identify High-Value Use Cases: Lead customers, partners, and internal teams to uncover impactful Data and AI use cases while proving out their value on the Databricks Data Intelligence Platform.
Execute Transformation Strategies: Implement customer data and AI transformation goals through strategic partnerships, well-scoped professional services, training, and targeted C-level engagement.
Build Technical Trust: Master technical product details and roadmap developments to cultivate credibility with both line-of-business executives and technical champions.

What We Look For

Utilities & Enterprise Expertise: Proven experience driving complex sales campaigns and building deep relationships within major Utilities accounts and global enterprises.
Domain Knowledge: Extensive background selling within the Data, Cloud, or SaaS industries.
Track Record of Success: Consistent history of exceeding sales quotas at high-growth Enterprise software companies using value-based selling methodologies.
Consumption Models: Experience driving usage and commit-based engagement strategies in tandem with professional services and training units.
Ecosystem Collaboration: Skilled at co-selling and scaling business with hyperscalers (AWS, Azure, Google Cloud) and Global System Integrators (GSIs).
Executive Presence: Proven capability to co-develop business cases and secure buy-in from C-level executives.

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 – Utilities at Databricks rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Key facts

Enterprise Account Executive – Utilities is an open job at Databricks.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in London, United Kingdom.
The job was posted on August 26, 2026.
Seniority: senior.
Applications are handled by Databricks. Apply on Databricks

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Enterprise SalesAccount ManagementUtilities DomainData And AI SolutionsSaas SalesAWSAzureGoogle Cloud

Also common in sales jobs at this level

AI agents Generative AI Machine learning LLM SQL NLP

Pay

Typical sales job: $142k

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

Questions you could be asked

Tell me about a project where enterprise sales was part of your work. What did you do?
Tell me about a project where account management was part of your work. What did you do?
Tell me about a project where utilities domain was part of your work. What did you do?
Tell me about a project where data and ai solutions was part of your work. What did you do?
Tell me about a project where saas sales was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Enterprise Sales, Account Management, Utilities Domain, Data And AI Solutions, and Saas Sales. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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