Staff Enablement Program Manager at Databricks

Job Description:

Latest Job Information from Company Databricks as position Staff Enablement Program Manager. If Job Vacancy Staff Enablement Program Manager in United States matches your criteria, please send your latest application/CV directly through the latest and most updated job site Jobkos.

Every job may not be easy to apply for, because as a new candidate / prospective employee must meet several qualifications and requirements according to the criteria sought by the Company. Hopefully the career information from Databricks as the position Staff Enablement Program Manager below matches your qualifications.

CSQ426R299

Mission:

The Databricks Customer Enablement Team is on a mission to upskill data and AI professionals in our customer organizations to accelerate customer impact and innovation through the use of Databricks. 

Reporting to the AMER Customer and User Enablement Leader, we are looking for a US-based Customer Enablement Architect to work with cross-functional teams, including Sales, Field Engineering, Professional Services and Scaled User Enablement to position the value of Databricks training, develop custom enterprise learning plans and drive talent transformation with strategic accounts. You will also be a key influencer in how we continue to innovate and drive scale with this motion for the long-tail of customer accounts. 

You will be accountable for increasing the number of accounts in your portfolio that have trained users and will be responsible for achieving that goal through the landing of learning plans with a blend of free and paid training offerings.  

This role will have a significant impact on one of the largest sets of customers for Databricks, and is a tremendous opportunity for a self-motivated entrepreneur with a technical and services background and thrives in a fast-paced, dynamic work environment. 

The impact you will have:

• Increase the number of customer accounts with Databricks trained users by partnering with Sales, Field Engineering, Professional Services and Scaled User Enablement 
• Drive activation of training by positioning the value of Databricks training and getting buy-in on custom learning plans with free and paid learning offerings 
• Create enterprise data + AI transformation for customers by developing talent thought leadership for your segment 
• Work with the Global Training Operations and Delivery Teams to ensure a seamless execution of training plans 
• Provide recommendations and updates to senior leadership and executives both internally and externally on learning strategies that drive business impact 
• Serve as voice of the customer to drive change and improvements across the customer learning experience, from Curriculum, to Marketing, to Training Delivery, to Operations and on 
• Deliver regular updates internal leadership on progress towards accounts with trained users, training bookings and training revenue 

What we look for:

• 1+ years of experience in the field of Big Data, AI or Data Science
• 5+ years of demonstrated experience in Training, Customer Success, or managing a book of business (or similar field in consulting, industry)
• Experience creating and leading programs and partnering with sales and technical teams to deliver customer outcomes including but not limited to trainer users, training revenue and credential goals
• Tech bar: Technical enough to understand Databricks training curriculum and certifications, to make recommendations to customers. Can present foundational onboarding webinars, but not expected to conduct deep hands-on training 
• Strong with managing ambiguity in an evolving and fast paced environment 
• Strong stakeholder management, executive presence and interpersonal skills
• Translate customer outcomes to learning plans and enablement recommendations

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 2 Pay Range

$115,700—$161,900 USD

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 3 Pay Range

$109,200—$152,850 USD

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 4 Pay Range

$102,800—$143,900 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 .

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.

Job Info:

• Company: Databricks
• Position: Staff Enablement Program Manager
• Work Location: United States
• Country: US

How to Submit an Application:

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