Global Sales Enablement Manager

SLSQ125R183

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Global Sales Enablement Manager

The Global Sales Enablement Manager will be an individual contributor on a team that exists to build, deliver, and measure revenue-generating enablement programs that give our audiences the competence and confidence they need to thrive in their careers. We strive to create data-driven programs that are innovative, relevant, and impactful and that drive success for Databricks, our customers, and partners. We will develop and consistently improve sales performance through data-driven insights, performance analysis and enablement competency development.

Our focus will be to partner with stakeholders to build a model to deconstruct and measure individual sales performance, enable managers to coach and improve the performance of each individual, troubleshoot performance problems to deploy efficient and effective solutions to improve performance, and implement strategies to measure the effectiveness of enablement and the impact enablement initiatives have on sales performance.

The impact you will have:

• Become a subject matter expert on how selling is done at Databricks across the globe
• Curate relationships with senior executives in sales, field engineering, customer success, product development and elsewhere in the business to be able to translate varying expertise into digestible learning content for our sellers
• Become a go-to person within Databricks that is seen as the person that can translate highly complex and technical topics into simple and easily understood explanations and training materials.
• Identify learning gaps and patterns in our global salesforce using tools at scale (i.e. Gong, Databook, Clari)
• Develop training (both live and eLearning) that addresses gaps and ties directly to revenue impact
• Your efforts will directly impact new hire AE ramp time, new logos closed, productivity and revenue generated
• Partner with stakeholders to build and maintain Performance Competency Models that deconstruct performance expectations (outcomes to achieve and outputs to produce) for each GTM role the enablement team supports.
• Socialize and drive alignment on each performance model to standardize and maintain performance expectations.
• Enable an intervention checklist to ensure the most efficient and effective solutions are in place to enable all performance expectations.
• Operationalize a performance audit process for enablement and sales managers to analyze performance problems and systematically troubleshoot to identify the most efficient and effective solutions to address performance discrepancies.
• Influence the design and implementation of both non-instruction and instruction-based initiatives with evidence-based standards.
• Standardize the approach to quantify performance improvement potential upon identifying and prioritizing performance problems or new initiatives.
• Reinforce the methods to ensure training is deployed to solve a performance need and to assess training effectiveness.

What we look for:

• 7+ years of enablement, learning design, sales or consulting experience
• A background in sales, technology and/or learning design. All three are preferred but not required.
• Track record of successful selling and/or successfully driving data driven enablement programs that drive revenue growth and/or successful learning design aimed at revenue teams.
• Experience developing eLearning content for a global sales audience preferred.
• Ability to work cross-functionally, in unfamiliar parts of the business, and quickly understand the experience of individuals/roles, identify what matters to them, and be able to gain buy-in and influence their actions.
• Strong aptitude for clearly articulating messages and high adaptive listening
• Experience with sales methodologies (i.e. Challenger, Command of the Message, MEDDPICC)
• Experience with learning design principles and methodologies
• Bachelor's Degree required

Benefits

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

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.

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.