Customer Training Business Development, Southern - Paris, France - Databricks

Databricks

Entreprise vérifiée

Paris, France

il y a 3 semaines

Posté par:

Sophie Dupont

beBee Recruiter

Description

Workplace:

Hybrid. Based in France, with the ability to be in the Paris office at least 1 day a week.

Mission:

The Databricks 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 specialist, reporting to our Global Enablement Lead, to be based in France to support our Southern EMEA (France, Italy, Spain and Middle East) customers.

You will work with Go-To-Market account teams to support the customer onboarding and ongoing training enablement needs.

Working with the Technical GMs in the region, you will develop enablement strategies and plans for multiple customer segments, working with the global enablement teams to lead seamless execution types, and directly get involved in building training customization for select strategic customers.

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 right number of learners and credentials in customer accounts.

The impact you will have:

Work with the Go-ToMarket teams (Sales, Field Engineering and Professional Services) teams to create enablement strategies aligned with the needs by customer segment.
Ensure all customers have a tailored enablement plan to meet their specific needs.
Work with the global enablement teams of delivery and operations to provide a seamless execution of the training and enablement plans.
Report weekly/monthly numbers and guide appropriate actions from the GTM teams.
Manage plans for regional training bookings and revenue execution expectations.
Work as a voice of the customer for global teams supporting enablement content and credentials.
Manage projects across different teams simultaneously, working to deadlines and priorities.

What we look for:

1+ years of experience in the field of Big Data, AI or Data Science. Demonstrated experience in Customer Success, training, 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 (training revenue goals and Learners/credentials). 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 handson training. Translate customer outcomes to learning plans and enablement recommendations.

Benefits- Private medical insurance- Private life and disability coverage- Pension Plan- Equity awards- Enhanced Parental Leaves- Fitness reimbursement- Annual career development fund- Home office and work headphones reimbursement- Business travel accident insurance- Mental wellness resources- Employee referral bonus

About Databricks
Databricks is the data and AI company.

More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe.

Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.

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.

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