Posted:
10/23/2024, 10:01:11 AM
Location(s):
California, United States ⋅ San Francisco, California, United States
Experience Level(s):
Senior
Field(s):
Business & Strategy ⋅ Sales & Account Management
Pay:
$159/hr or $330,720 total comp
SLSQ425R776
At Databricks, we are passionate about helping data teams solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Databricks is looking for a motivated Strategy and Execution Manager to join our Deal Desk Transformation team that helps define Quote-to-Order (QtO) strategy and drive scalability. You will collaborate with the Deal Desk functions, senior leaders, and stakeholders across lines of business to execute process and system enhancement projects. Managing stakeholder expectations and ensuring the smooth implementation of process/system changes are key aspects of this role. You will be accountable for end-to-end transformation project lifecycle support, from strategic QtO process design to requirements gathering through to perform User Acceptance Testing (UAT) to post-release enablement and support. Your ability to manage resistance to change, lead cross-functional conversations, and influence stakeholders sets you apart. You thrive in a dynamic environment and excel at problem-solving, project management, and driving results. You are passionate about helping us build a Deal Desk function with industry-leading business agility, process scalability, and automation in an environment of rapid growth.
The impact you will have:
What we look for:
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.
Website: https://databricks.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series I
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning