Databricks

3 weeks ago

Senior Manager, Emerging Enterprise (DACH)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead go-to-market and sales strategy for the DACH region, owning revenue plans and driving annual business goals and KPIs. Manage and grow a team of Emerging Enterprise Account Executives, ensuring alignment with Databricks sales processes, quota, forecasting, pipeline development, and activity tracking. Support strategically important accounts and partner with leadership on quota setting and territory carving, while hiring, coaching, and calibrating performance expectations.

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define go-to-market strategy, business plan, and cohesive sales strategy for the DACH region to meet annual goals and KPIs.
•Build, own, and implement revenue plans to exceed sales targets.
•Lead and grow Emerging Enterprise Account Executives, driving alignment to sales processes and quota achievement.
•Guide forecasting, pipeline development, and activity tracking to improve productivity and efficiencies across the territory.
•Support strategically important accounts and collaborate with leadership on quota setting and territory carving, including hiring and development objectives.

Key Requirements

•Strong first-line management experience.
•Strong sales experience in Data and AI or technology sales.
•In-depth knowledge of positioning and selling software to IT and/or data executives.
•Strong written, verbal, presentation, and organizational skills with the ability to evangelize Databricks solutions.
•Extensive knowledge of sales methodologies such as MEDDICC, CoM, and Challenger.

Skills:LeadershipCoachingOrganizational skillsCommunicationStrategic planning

Languages:EnglishGerman

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

3 weeks ago

Senior Manager, Emerging Enterprise (DACH)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define go-to-market strategy, business plan, and cohesive sales strategy for the DACH region to meet annual goals and KPIs.
•Build, own, and implement revenue plans to exceed sales targets.
•Lead and grow Emerging Enterprise Account Executives, driving alignment to sales processes and quota achievement.
•Guide forecasting, pipeline development, and activity tracking to improve productivity and efficiencies across the territory.
•Support strategically important accounts and collaborate with leadership on quota setting and territory carving, including hiring and development objectives.

Key Requirements

•Strong first-line management experience.
•Strong sales experience in Data and AI or technology sales.
•In-depth knowledge of positioning and selling software to IT and/or data executives.
•Strong written, verbal, presentation, and organizational skills with the ability to evangelize Databricks solutions.
•Extensive knowledge of sales methodologies such as MEDDICC, CoM, and Challenger.

Skills:LeadershipCoachingOrganizational skillsCommunicationStrategic planning

Languages:EnglishGerman

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn