Sr. Manager, Field Engineering

Cacheflow; München; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Cacheflow in Munich is seeking an experienced Solutions Architect to build and lead a pre‑sales team. The role involves managing customer engagements and driving business outcomes using data and AI.

The ideal candidate has a strong background in data engineering or analytics platforms, proven experience in SaaS business models, and is fluent in both German and English. This position supports a culture of diversity and inclusion.

Qualifikationen

• Proven experience in building and managing pre‑sales or technical field teams.
• Strong background in data engineering or analytics platforms.
• Experience in consumption‑based or SaaS business models.

Aufgaben

• Build and lead the pre‑sales (Solutions Architect) team.
• Own pre‑sales ROI and effectiveness.
• Act as a player‑coach in customer engagements.

Kenntnisse

Team leadership

Data engineering

SaaS business models

Customer relationship management

Process optimization

Fluent in German

Fluent in English

Jobbeschreibung

The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build, operate, and scale for years to come. This creates a significant opportunity to help customers turn data and AI investments into measurable business outcomes.

This role combines people leadership, business ownership, and executive engagement. You will operate as a player‑coach in key deals while building a high‑performing, scalable field‑engineering organisation for a consumption‑based business.

You report to the Director, Field Engineering.

Impact you will have

• Build, lead, and scale the pre‑sales (Solutions Architect) team for your assigned customers in Germany, including hiring, coaching, performance management, 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.
• Engage with senior and executive stakeholders at customers to build trusted relationships and long‑term partnerships.
• Drive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre‑/post‑sales handshake tied to consumption outcomes (onboarding readiness, adoption milestones, expansion path).
• Represent Field Engineering as part of the regional team, contributing to Databricks’ brand, market positioning, and growth in Germany.

What we look for

• 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.
• Experience establishing repeatable processes that improve efficiency without limiting innovation or ownership.
• Passion for the data and AI market and the ability to articulate a clear, executive‑level POV on the value of Databricks.
• Executive presence with the ability to influence and communicate confidently with senior stakeholders.
• Fluent German (highly preferred) and fluent English (required).

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.