仕事内容
<p><strong>Req ID: CSQ128R179</strong></p>
<p><strong>Location: London, United Kingdom - Hybrid </strong></p>
<p><strong>Recruiter: Dina Hussain</strong></p>
<h3><strong>Role Overview</strong></h3>
<p>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.</p>
<h3><strong>Scope of Impact & Leveling Criteria</strong></h3>
<ul>
<li>Oversees successful delivery at the delivery team and account level, driving Professional Services (PS) business outcomes through high-quality execution. Impact is measured by key metrics including Bookings, Revenue, Margin, CSAT, and Direct Consumption / Delta Cloud Consumption (DBUs).</li>
<li>Typically manages an elite engineering team of 8+ Individual Contributors. Handles delivery across direct accounts and navigates technical and scoping alignment with Engagement Managers and client stakeholders.</li>
<li>Focuses internally on building team capabilities and externally on account execution. Mandates high standards for Greenhouse scorecards and interview calibrations, ensuring clear pass/fail hiring signals.</li>
</ul>
<h3><strong>Key Responsibilities & Core Behaviors</strong></h3>
<ul>
<li>Connect your team’s day-to-day work to real customer outcomes and business impact. Build excitement about Databricks by sharing customer wins and delivery successes, making each individual feel motivated and appreciated.</li>
<li>Reinforce your team’s top delivery priorities. Help your team focus on high-impact technical work, redirecting effort away from low-value tasks and removing blockers that slow execution. Use delivery data and PS KPIs to confirm
求めるスキル
Python
AWS
GCP
Azure
MLOps