Job descriptionReq 8643831002

SLSQ427R348

As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world. You are creative and self-motivated with experience running both transactional and strategic sales processes. You know how to sell innovation and change through customer vision expansion 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. Always prospecting for new opportunities, you will close new accounts while expanding existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

Build a territory plan by 30 days with a clear account prioritization strategy.
Align both new and existing customers with the Lakehouse vision and ecosystem.
Be able to range from faster transactions to large strategic deals.
Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect in this role.
Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
Lead with a customer first mindset and focus on business value

What we look for:

1+ years of closing sales experience
Prior experience in big data, Cloud, or SaaS sales
Be able to quickly learn new technologies and value proposition
Experience exceeding sales KPIs and quotas
Success closing new accounts while working existing accounts

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

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect an online application followed by an initial resume screen. If selected, candidates may be invited to a recruiter phone screen to discuss background, motivation, and role fit, followed by one or more interviews with hiring managers or team members. Depending on the role, technical positions may include coding exercises, case studies, or system design discussions, while business roles may involve skills assessments or presentations. Later stages can generally include panel interviews or onsite-style virtual interviews with cross-functional stakeholders. Communication and scheduling are typically coordinated through the Greenhouse platform, and response times vary depending on team needs and volume of applicants. Candidates should prepare to demonstrate both technical or functional expertise and alignment with company values throughout the process.”}

Based on publicly available information. LandEarly does not verify interview process details.

Account Executive

What applying to Databricks usually looks like

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