The Rundown AI, Inc.
The Impact You Will Have
Expedite the proposal and approval of offers by working closely with Account Executives and Sales Managers
Create deal desk training and documentation that serves a field organization
Be a trusted advisor on structuring offers that meet both Databricks' requirements and customers' business needs
Create dashboards and metrics to measure performance and progress on deal desk activity
Partner on the enhancement current deal desk technology platform and operations
Scale the Deal Desk operation as Databricks grows in customers, products and contractual complexity
Achieve further standardization and automation of both the commercial introduction and the deal execution processes
In particular, significantly increased the share of deals closed on standard and pre-defined fallback paths, working in cross-functional alignment with Sales, Pricing/Policy, Legal and Finance teams
Gain the trust of GTM leaders as the one-stop shop for efficient end-to-end deal execution in alignment with strategic goals
What We Look For
10 years of GTM leadership experience in B2B technology company settings
Deep expertise in end-to-end deal execution in the Cloud consumption space, including deal policies, quoting, strategic negotiation, approval process, and order management, preferably at a fast-paced company
Data-driven operator that establishes clear KPIs, a rigorous operating rhythm and continuous optimizations
Strong cross-functional collaborator, thought leader and team player who is able to balance complex stakeholder trade offs across Sales, Finance, IT and Product senior leadership in the best interest of the company
Experience with Salesforce and Configure, Price and Quote (CPQ) tools
Excellent written and verbal communication skills.
Ability to learn quickly in a fast-paced environment.
Bachelor’s degree in Business or related 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 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 anticipates 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.
Zone 1 Pay Range: $205,400—$287,525 USD
Zone 2 Pay Range: $184,800—$258,750 USD
Zone 3 Pay Range: $174,600—$244,425 USD
Zone 4 Pay Range: $164,300—$229,925 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. 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.
Location Preference While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
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Expedite the proposal and approval of offers by working closely with Account Executives and Sales Managers
Create deal desk training and documentation that serves a field organization
Be a trusted advisor on structuring offers that meet both Databricks' requirements and customers' business needs
Create dashboards and metrics to measure performance and progress on deal desk activity
Partner on the enhancement current deal desk technology platform and operations
Scale the Deal Desk operation as Databricks grows in customers, products and contractual complexity
Achieve further standardization and automation of both the commercial introduction and the deal execution processes
In particular, significantly increased the share of deals closed on standard and pre-defined fallback paths, working in cross-functional alignment with Sales, Pricing/Policy, Legal and Finance teams
Gain the trust of GTM leaders as the one-stop shop for efficient end-to-end deal execution in alignment with strategic goals
What We Look For
10 years of GTM leadership experience in B2B technology company settings
Deep expertise in end-to-end deal execution in the Cloud consumption space, including deal policies, quoting, strategic negotiation, approval process, and order management, preferably at a fast-paced company
Data-driven operator that establishes clear KPIs, a rigorous operating rhythm and continuous optimizations
Strong cross-functional collaborator, thought leader and team player who is able to balance complex stakeholder trade offs across Sales, Finance, IT and Product senior leadership in the best interest of the company
Experience with Salesforce and Configure, Price and Quote (CPQ) tools
Excellent written and verbal communication skills.
Ability to learn quickly in a fast-paced environment.
Bachelor’s degree in Business or related 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 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 anticipates 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.
Zone 1 Pay Range: $205,400—$287,525 USD
Zone 2 Pay Range: $184,800—$258,750 USD
Zone 3 Pay Range: $174,600—$244,425 USD
Zone 4 Pay Range: $164,300—$229,925 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. 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.
Location Preference While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
#J-18808-Ljbffr