Databricks

3 months ago

Manager, Field Engineering France

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead and mentor a pre-sales Field Engineering team in France, guiding Solutions Architects and Solutions Engineers to design value-based data, cloud, and SaaS solutions; collaborate with Sales, Marketing, and Services to ensure seamless implementation and customer success; build trusted relationships with customer executives and strategic partners; represent the team in regional leadership to grow Databricks’ brand and market presence.

Location: Paris

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead, mentor, and develop a high-performing pre-sales team in France.
•Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity.
•Partner with Sales to drive growth through solution- and value-based selling.
•Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact.
•Build trusted relationships with customer executives and strategic partners.

Key Requirements

•Proven experience managing technical teams in Big Data, Cloud, or SaaS environments.
•Track record of leading, mentoring, and scaling pre-sales or technical field organisations.
•Understanding of consumption-based business models.
•Ability to collaborate effectively with Sales and other cross-functional leaders.
•Strong communication and interpersonal skills—fluent in English and native-level French.

Experience:Big dataCloudSaasData engineeringDatabasesData science

Skills:LeadershipCommunicationCollaborationCoachingStrategic thinking

Languages:EnglishFrench

Tech Stack:Big DataCloudSaaSData EngineeringDatabasesData ScienceAI

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 months ago

Manager, Field Engineering France

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Paris

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead, mentor, and develop a high-performing pre-sales team in France.
•Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity.
•Partner with Sales to drive growth through solution- and value-based selling.
•Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact.
•Build trusted relationships with customer executives and strategic partners.

Key Requirements

•Proven experience managing technical teams in Big Data, Cloud, or SaaS environments.
•Track record of leading, mentoring, and scaling pre-sales or technical field organisations.
•Understanding of consumption-based business models.
•Ability to collaborate effectively with Sales and other cross-functional leaders.
•Strong communication and interpersonal skills—fluent in English and native-level French.

Experience:Big dataCloudSaasData engineeringDatabasesData science

Skills:LeadershipCommunicationCollaborationCoachingStrategic thinking

Languages:EnglishFrench

Tech Stack:Big DataCloudSaaSData EngineeringDatabasesData ScienceAI

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