Customer Enablement Architect, Amer - Trentino Alto Adige, Italia - Databricks Inc.

Descrizione

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

The Databricks Customer Enablement team is on a mission to upskill Data and AI professionals in our customer organizations to use Databricks and accelerate customer success and outcomes.

We are looking for a Customer Enablement Architect, reporting to our AMER Regional Enablement Lead, to be based in the USA to support some of our regional customers.

You will work with multiple teams, including Sales, Field Engineering, and Professional Services account teams, to support the customer onboarding and ongoing training needs.

Balancing a combination of free and paid training offerings to the customer, you will support training bookings and revenue in the region and ensure customer success with the correct number of learners and credentials in customer accounts.

The Customer Training team is seen throughout Databricks as a strategic driver for our customer's adoption and success.

You will ensure that our customers in this region can use all the training services explicitly designed to meet their needs, drive adoption, and support customer success.

The impact you will have:

Work with the regional Go-To-Market teams (Sales, Field Engineering, and Professional Services) to create enablement strategies that are aligned with the needs of each customer segment.

Work with the global training teams of Delivery and Operations to provide seamless execution of the training and development plans.

Report weekly/monthly/quarterly numbers and guide appropriate actions from the field teams by creating and managing plans for training bookings and revenue execution expectations.

Work as a voice of the customer for regional teams supporting enablement content and credentials.
Engage with Senior Leadership and Executives internally and externally to ensure the best learning outcomes for our customers.


What we look for:

1+ years of experience in 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 training revenue, learner and credential goals.

Tech bar:
technical enough to understand the 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.


Transition Milestones:
Within the first 3 months:Get to know your teammates, stakeholders and account teamsEstablish an understanding of our training offerings and portfolio - paid and freeEstablish an understanding of our goals, processes and systemsLearn about Databricks products and services3-6 monthsEstablish priorities for account management and offerings for your book of businessDeepen your knowledge of Databricks products and servicesMeaningfully contribute to in region learners, trained accounts and training revenue targets6 months+:Deepen discussions with customers regarding their learning needs and talent transformationBe a Subject Matter Expertise to all stakeholders regarding Learning and Enablement offerings and portfolioMake recommendations on potential opportunities regarding our portfolio and offerings based on listening to your customerComprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
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 .

Zone 4 Pay Range
$95,800 — $169,600 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 .

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.
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