At a glance
- Location
- Munich
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region.
- You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact.
Responsibilities
- Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership.
- Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing.
- Integrate services into platform deals, ensuring customers achieve measurable business outcomes.
- Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations.
- Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success.
- Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services.
- Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor.
- Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations.
- Coach and mentor junior Engagement Managers, supporting peer development and best practice adoption.
Requirements
- Strong background in customer-facing roles, including consulting, solutioning, and executive engagement, with the ability to engage in architecture-level discussions and translate technical designs into business outcomes.
- Deep industry expertise with the ability to speak the language of customers and demonstrate relevant use cases.
- Extensive experience in Professional Services sales and delivery leadership, ideally in the Data & AI domain.
- Solid technical knowledge of data and AI platforms (preferably Databricks) with the ability to scope and solution services engagements.
- Strong program management and delivery oversight skills, with the ability to align cross-functional teams to customer outcomes.
- Excellent communication, influencing, and negotiation skills across executives, technical teams, partners, and internal stakeholders.
Benefits
- Comprehensive benefits and perks that meet the needs of all of our employees
Workplace
- Travel to customers 20% of the time.
Skills
- Databricks
- Genie
- Lakebase
- Agent Bricks
- Lakeflow
- Lakehouse
- Unity Catalog
