Strategic Overview
Digital Natives Account Executive at Databricks is a sales-support opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts.
The role is listed for London, United Kingdom with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
SLSQ427R430
Want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.
As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will own a focused territory of 3 to 4 large Digital Native spending accounts with significant upside potential. This is a hunter-led role where you will be expected to aggressively identify new opportunities within these accounts, expand existing relationships, and drive meaningful…
Key Responsibilities & Objectives
- Assess your territory and develop a successful execution strategy
- Drive quarter-on-quarter consumption growth in existing accounts
- Experience growing consumption and closing commit deals in a direct sales role
Required Qualifications & Candidate Blueprint
- Good understanding of the data platform and cloud ecosystems
- Some exposure to the software industry and understanding of selling SaaS, Data and Business Value
- Competent with prospecting research and ability to map out key stakeholders
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
SLSQ427R430
Want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.
As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will own a focused territory of 3 to 4 large Digital Native spending accounts with significant upside potential. This is a hunter-led role where you will be expected to aggressively identify new opportunities within these accounts, expand existing relationships, and drive meaningful consumption growth.
You are a self-starter who understands the consumption sales process. You know how to sell innovation and value, uncover new use cases, grow spend within existing customers, and guide complex deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners.
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
What we look for:
- Good understanding of the data platform and cloud ecosystems
- Some exposure to the software industry and understanding of selling SaaS, Data and Business Value
- Experience growing consumption and closing commit deals in a direct sales role
- Competent with prospecting research and ability to map out key stakeholders
- Advanced understanding of MEDDPICC
- Experience exceeding sales targets/quotas
- Bachelor's Degree or relevant work experience
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This sales-support opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Assess your territory and develop a successful execution strategy — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.