Databricks
Enterprise Account Executive – Utilities
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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.
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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.
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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.
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