# Forward Deployed Engineering Manager

**Company**: Databricks
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8910850002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5f508bdd-3f2

## Description

As a Forward Deployed Engineering (FDE) Manager, you will lead a high-performing delivery team of 8+ Individual Contributors (ICs) to build and productionize solutions for customers' data and AI challenges using the Databricks platform.

You are responsible for ensuring high-quality technical execution, driving professional services business outcomes, and nurturing elite engineering talent while remaining close to the technology and execution.

## Scope of Impact & Leveling Criteria

Your impact will be measured by key metrics including Bookings, Revenue, Margin, CSAT, and Direct Consumption / Delta Cloud Consumption (DBUs).

You will typically manage an elite engineering team of 8+ Individual Contributors, handling delivery across direct accounts and navigating technical and scoping alignment with Engagement Managers and client stakeholders.

## Key Responsibilities & Core Behaviors

- Connect your team’s day-to-day work to real customer outcomes and business impact.

- Reinforce your team’s top delivery priorities and help them focus on high-impact technical work.

- Hire strong PS talent using structured interviews and practical delivery scenarios.

- Remove delivery blockers quickly, using simple automation or AI assistants to accelerate routine work.

- Translate Databricks’ Culture Principles into concrete day-to-day behaviors.

- Apply a builder and AI-first mindset to improve team productivity.

## What We Look For

- Experience: 8+ years of total technical experience with 2+ years of experience managing, leading, or mentoring high-caliber technical teams.

- Technical Depth: Strong technical background capable of evaluating architectures spanning distributed computing, Python/Scala, modern cloud ecosystems, CI/CD, and MLOps/GenAI frameworks.

- Leadership Skills: Proven ability to manage technical project delivery, timelines, scoping, conflict resolution, and executive customer relationships.

- Certifications: Databricks Certification required (or path to completion).

## Skills

### Required
- Databricks
- Distributed Computing
- Python
- Scala
- Cloud Ecosystems
- CI/CD
- MLOps
- GenAI

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8910850002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)