Director, Strategic Accounts - Logistics & Tech, m​/f​/d

SLSQ
327R124

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day here at Databricks.

As a result of our phenomenal growth, we are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of high performing Strategic Account Executives across the Logistics and Tech verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion.

This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.

• You’ll leverage your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows — raising the bar with every hire.
• Within your first 90 days, you’ll establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes.
• You’ll build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success — staying relentlessly customer-obsessed.
• You’ll coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence.
• You’ll ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection.
• You’ll develop a deep understanding of Databricks’ technical platform and roadmap, enabling informed decisions that deliver durable customer value.
• You’ll embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve.

• A proven people leader with 5+ years of experience leading high-performing Enterprise sales teams selling into strategic / global accounts in Germany.
• A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets.
• Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space.
• A talent-first leader who knows how to identify, develop, and retain top performers — building teams grounded in trust, accountability, and shared success.
• Strong understanding of usage-based, commit-based, and service-based revenue models, and how to use them together to drive sustainable growth.
• A history of building and leveraging partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
• Deep commitment to methodology-based sales coaching, including MEDDPICC and a Challenger mindset.
• A disciplined operator with a reputation for accurate forecasting and execution excellence.
• A truth-seeker who makes decisions based on data and adapts quickly as facts change.
• Above all, you live our values: customer-obsessed, company-first, collaborative, and biased toward action.
• Willingness to travel regularly to customer sites, international company meetings and customer events - regionally and internationally.
• Fluency in German and English is essential.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter, Linked In and Facebook.

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