Manager, Field Engineering

🔥 0 minutes ago

🌽 Illinois, Texas – Remote

infoinfo

💵 $192.1k - $264.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🔧 Field Service Engineer

Where this job comes from

Posted on Databricks's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Databricks

Databricks

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Manage a team of Solutions Architects for Databricks’ Manufacturing Segment • Hire, train, grow, and manage a high-performing Solutions Architect team • Make customers successful with Databricks and provide significant business value • Maintain a robust hiring pipeline • Establish relationships across the business to support customers and the team • Partner with Sales leadership to achieve sales and consumption targets while ensuring customer success • Keep Solutions Architects current on the Data + AI technology stack • Lead best practices for technical qualification, proofs of concept, architecture discussions, and product demonstrations • Build positive team culture and foster relationships across Field Engineering, Sales, and internal partners

🎯 Requirements

• 3+ years of experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and enabling pre-sales professionals • 7+ years of experience in the Data + AI space with a technical product, such as data warehousing, big data, data science, machine learning, or AI • Deep technical understanding of the impact Data + AI can drive within various industry segments • Technical competence to earn the trust of Engineering talent and leadership • Ability to serve as a trusted advisor to technical executives guiding strategic data infrastructure decisions • Experience hiring pre-sales professionals, ramping them up, promoting them into larger roles, addressing performance issues, and implementing improvement plans • Experience working with Product Management, Engineering, and Customer Success teams • Demonstrated architectural influence and ability to review complex architectures and guide teams and customers toward scalable solutions

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks, with details varying by region

Apply Now

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