SLSQ226R317
Overview
Databricks pioneered the concept of the lakehouse to combine and unify the best of data lakes and data warehouses. Now, Databricks is establishing a new category, Data Intelligence, to revolutionize data management by employing AI models to deeply understand the semantics of enterprise data.
To achieve these lofty goals, Databricks must effectively connect the Data Intelligence Platform to customers’ strategic priorities. Industry GTM has become a critical lever in creating that connection to the business, delivering data intelligence for customers, and winning the category that Databricks is creating.
As a Senior Director/Director of North America GTM Field Programs (Financial Services vertical), you will act as a trusted advisor to Field GTM leaders (Industry, Sales & Field Engineering), partnering closely with stakeholders across the business to design and implement targeted programs that drive Databricks pipeline, revenue, and adoption within key Financial Services segments & sub-verticals..
Key stakeholders are at the VP+ level, and will include GTM teams such as Sales, Field Engineering, Industries, Sales Strategy & Operations, Enablement, Marketing, Data Science, and Partners teams (SI, ISV, Cloud). The role combines the creative process of designing prescriptive programs and strategies, with effective operationalization to ensure impactful field execution and accelerate growth, propelling innovation in Data & AI technologies tailored to the unique needs of the Financial Services sector.
The impact you will have:
Responsibilities
What we look for:
As a Senior Director/Director of North America GTM Field Programs (Financial Services Focus), you will serve as a key architect of our market expansion within the Financial Services vertical, harnessing the immense potential of Data & AI to transform financial institutions worldwide. This position offers a rare opportunity to blend strategic vision, executive influence, and hands-on leadership, driving innovation and shaping the next chapter of our GTM strategy specifically for the Financial Services market.
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. 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 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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 https://www.mybenefitsnow.com/databricks.
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.
Last updated: 3 hours ago
© 2021 - 2024