Databricks

1 month ago

Sr. Manager, Field Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Lead and scale Databricks’ pre-sales field engineering team in Germany, acting as a player-coach to drive consumption-based growth. Build repeatable motions, shape value-based selling, partner with Sales to improve forecast and pipeline, and establish trusted executive relationships to deliver measurable business outcomes.

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Build, lead, and scale the pre-sales (Solutions Architect) team for your assigned customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage across your account portfolio.
•Own pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption.
•Act as a player-coach by balancing hands-on involvement in key customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.
•Establish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence.
•Partner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model.

Key Requirements

•Proven experience building and managing pre-sales or technical field teams in a high-growth environment.
•Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles.
•Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption.
•Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership.
•Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes.

Skills:LeadershipCommunicationInfluencingStrategic thinkingCoaching

Languages:GermanEnglish

Tech Stack:Data engineeringAnalytics platformsDatabasesData science

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

1 month ago

Sr. Manager, Field Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 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

•Build, lead, and scale the pre-sales (Solutions Architect) team for your assigned customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage across your account portfolio.
•Own pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption.
•Act as a player-coach by balancing hands-on involvement in key customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.
•Establish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence.
•Partner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model.

Key Requirements

•Proven experience building and managing pre-sales or technical field teams in a high-growth environment.
•Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles.
•Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption.
•Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership.
•Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes.

Skills:LeadershipCommunicationInfluencingStrategic thinkingCoaching

Languages:GermanEnglish

Tech Stack:Data engineeringAnalytics platformsDatabasesData science

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