Senior Engagement Manager, Forward Deployed Engineering
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will act as a trusted advisor within the Forward Deployed Engineering organisation, owning the end to end go-to-market of the FDE and Training organisations. You will independently scope complex engagements with multiple workstreams, drive sales of Professional Services and Training programs, pursue upsell and cross-sell opportunities, partner with Sales and GTM teams, and monitor customer sentiment.
Requirements
- 7-10 years running a Professional Services line of business
- 10+ years in senior customer-facing roles
- Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google)
- Strong knowledge of Databricks architecture, competitors, and migration benefits
- Proven track record managing large-scale program plans and service delivery
- Ability to travel as required
Responsibilities
- Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders
- Drive full-cycle sales of standard and customized Professional Services & Training programs
- Identify and pursue upsell and cross-sell opportunities to meet or exceed revenue targets
- Partner with Sales and GTM teams to prioritize regional PS&T targets
- Monitor customer sentiment and take corrective actions or escalate