Strategic Overview
Named Hunter Account Executive - Digital Natives 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 accounts and develop a strategy to identify and engage all buying centers Build value with all engagements to promote successful negotiations to close point.
The role is listed for Austin, Texas / Boston, Massachusetts / Chicago, Illinois / Denver, Colorado / Los Angeles, California / New York City, New York / San Francisco, California / Seattle, Washington 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
SLSQ427R846
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant…
Key Responsibilities & Objectives
- Assess your accounts and develop a strategy to identify and engage all buying centers
- Build value with all engagements to promote successful negotiations to close point
Required Qualifications & Candidate Blueprint
- 5+ years of sales experience in SaaS/PaaS companies
- Bachelor's Degree
Salary & Benefits
Published compensation: Zone 1: $245,200 – $337,150 USD · Zone 2: $245,200 – $337,150 USD · Zone 3: $245,200 – $337,150 USD · Zone 4: $245,200 – $337,150 USD
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.
SLSQ427R846
The impact you will have:
- Assess your accounts and develop a strategy to identify and engage all buying centers
- Use a solution approach to selling and creating value for customers
- Identify the most viable use cases in each account to maximize Databricks impact
- Orchestrate and work with teams to maximize the impact on your ecosystem
- Build value with all engagements to promote successful negotiations to close point
- Promote Databricks enterprise cloud data platform powered by Apache Spark
- Be Customer focused by delivering technical and business results using the Databricks Platform
- Promote Teamwork...it makes the Dreamwork!
- You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization.
- Sales experience within big data, Cloud, or SaaS sales
- Prior customer relationships with CIOs and important decision-makers
- Simply articulate intricate cloud technologies and big data
- Experience exceeding sales quotas
- Success closing new business to net new accounts
- 5+ years of sales experience in SaaS/PaaS companies
- Bachelor's Degree
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
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 accounts and develop a strategy to identify and engage all buying centers — 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.