Enterprise Account Executive - Manufacturing
Quick Summary
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.
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.
- 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
- 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
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.
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.
Location & Eligibility
Listing Details
- Posted
- October 12, 2026
- First seen
- October 12, 2026
- Last seen
- October 12, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 61%
- Scored at
- October 12, 2026
Signal breakdown
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition.
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