Emerging Enterprise Core Account Executive
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Enterprise Sales
- Source
- databricks
- First observed
- 2026-08-19 15:11 UTC
- Last seen
- 2026-08-19 15:11 UTC
- Source claims posted
- 2026-08-19 13:48 UTC
- Consecutive misses
- 0 of 3
What the posting says
SLSQ427R417
As an Emerging Enterprise Account Executive at Databricks, you come with relevant experience selling to Emerging Enterprise ($250 - $1B revenue) accounts in France. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth.
The impact you will have:
Assess your territory and develop a successful execution strategy
Drive quarter-on-quarter consumption growth in existing accounts
Exceed activity and quarterly revenue targets
Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
Identify new use case opportunities and showcase value to existing customers
Promote the value of the Databricks' Data Intelligence Platform
Ensure 100% satisfaction among all customers
Connect to your accounts ecosystem (stakeholders, influencers, partners, VC, PE, cloud providers etc)
Drive both technical and business discussions, adapting the narrative to the audience (C level, middle management, practitioner…) and persona (IT, Data & AI, Finance, Operations, Marketing, Sales…)
What we look for:
Strong closing experience selling SaaS / Cloud or Big Data/AI solutions to Mid Market Customers in France (Digital Native experience is highly desirable)
Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
Ability to simply articulate intricate cloud & big data / AI technologies and their business value for the customer
Experience exceeding sales targets/quotas
Master’s Degree or relevant work experience
Fluency in English and French is required
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.
Applicant Privacy Notice
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#187331 2026-08-19 15:11 UTCPublished