CSQ327R193 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. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact
This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks’ broader platform growth, ensuring our customers achieve measurable business value from their investments
The impact you will have 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
What we look for 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