Senior Engagement Manager, Forward Deployed Engineering
London · Remote · 7-10 years experience · Remote · Posted Oct 15, 2026
At a glance
- Experience
- 7-10 years experience
- Workplace
- Remote
- Location
- London · Remote
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
- The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation.
- You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers.
- You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers.
Responsibilities
- Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders.
- Drive the full-cycle sales of standard and customized Professional Services & Training programs, pulling in best practices for Centers of Excellence and migrations.
- Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets.
- Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals.
- Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction.
Requirements
- 7-10 years running a Professional Services line of business.
- 10+ years in senior customer-facing roles with a mix of influencing and execution.
- 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 of managing large-scale program plans and service delivery.
- Ability to travel up to 25-50% as required.
Workplace
- Ability to travel up to 25-50% as required.
Skills
- Databricks
- AWS
- Microsoft