Strategic Energy AI Account Executive

Databricks Inc.; London (KY); On-site; USD 161,000 - 242,000; Full time

Job summary

Databricks is seeking an Enterprise Account Executive to lead our Energy sector growth within a strategic, multi‑national account. You will guide Data, Analytics and AI value delivery to senior executives, collaborate with partners, and drive usage-based engagement across the account.

You will leverage a deep understanding of the Data/Cloud/SaaS landscape to identify high‑value use cases, defend the ROI of the Databricks platform, and coordinate with services and sales teams to close complex

Qualifications

• Proven experience driving complex sales campaigns in the Energy sector.
• Background selling data, cloud, or SaaS products to large enterprises.
• Track record of exceeding quotas in enterprise software with a value-based approach.
• Experience with usage-based or commit-based engagement models.
• Skilled at co-selling with hyperscalers and GSIs.
• Ability to secure buy-in from C-level executives.

Responsibilities

• Co‑develop a strategic plan with your team and partners to exceed usage and booking goals across a major Energy account.
• Lead customers, partners, and internal teams to uncover high‑value Data/AI use cases and prove their value on the Databricks platform.
• Drive customer data and AI transformation goals through partnerships, services, training, and executive engagement.
• Build technical credibility with business and technical stakeholders through product and roadmap knowledge.

Skills

Energy sales

Enterprise software

Account management

Data/AI value selling

C-level engagement

Ecosystem collaboration

Job description

Databricks is seeking an Enterprise Account Executive to lead our Energy sector growth within a strategic, multi‑national account. You will guide Data, Analytics and AI value delivery to senior executives, collaborate with partners, and drive usage-based engagement across the account.

You will leverage a deep understanding of the Data/Cloud/SaaS landscape to identify high‑value use cases, defend the ROI of the Databricks platform, and coordinate with services and sales teams to close complex