Named Hunter Account Executive - Retail & CPG

Databricks Inc.; United States; Remote; USD 219,000 - 338,000; Full time

Job summary

An established industry player is seeking a dynamic Enterprise Account Executive to spearhead innovative sales strategies in the Retail & CPG sector. This role offers the chance to engage with top-tier clients, driving growth through a solution-based approach. You will leverage your expertise in big data and cloud solutions to simplify complex technical capabilities into valuable benefits for clients. Join a forward-thinking company that prioritizes innovation and customer success, and be part of a team that is shaping the future of data and AI. If you have a passion for sales and a desire to make a significant impact, this opportunity is perfect for you.

Benefits

Annual performance bonus

Equity options

Comprehensive health benefits

Flexible work hours

Remote work opportunities

Qualifications

• 7+ years of Enterprise Sales experience with a proven track record.
• Experience engaging with CIOs, CDOs, and other decision-makers.

Responsibilities

• Build relationships with key stakeholders in enterprise accounts.
• Drive value-based growth and exceed revenue targets.

Skills

Enterprise Sales

Big Data

Cloud Computing

SaaS

Salesforce

Customer Relationship Management

Education

Bachelor's Degree

Tools

Salesforce

Job description

Candidates in the listed location(s) are encouraged for this role:

• Remote - Atlanta
• Remote - Austin
• Remote - California
• Remote - Chicago
• Remote - New York
• Remote - Seattle
• Remote - Texas

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. 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 value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Retail & CPG team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will map to enterprise clients in the Retail & CPG vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have:

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark and Delta Lake.
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account.

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight.
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion.
• Prior enterprise engagements with CIOs, CDO's, Data Engineers, Data Analysts, Data Scientists, and essential decision makers.
• The ability to simplify a technical capability into a value-based benefit.
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts.
• Managing a target set of net new enterprise accounts rather than a broad territory.
• 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 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 utilizes 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.

Zone 1 Pay Range: $219,900 — $337,200 USD

Zone 2 Pay Range: $219,900 — $337,200 USD

Zone 3 Pay Range: $219,900 — $337,200 USD

Zone 4 Pay Range: $219,900 — $337,200 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

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, please visit 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.

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.