Senior Manager, Field Engineering – Financial Services

🔥 51 minutes ago

🌽 Illinois, New York, +2 more states – Remote

infoinfo

💵 $192.1k - $264.2k / year

⏰ Full Time

🟠 Senior

🔧 Field Service Engineer

Where this job comes from

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

First seen by Remote Rocketship 51 minutes ago

Still open on Databricks's site. Checked 6 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

• Report to a Director, Field Engineering • Lead a team of Solutions Architects for Databricks’ Financial Services segment within the Regulated Industries Field Engineering team • Lead and promote a diverse technical sales team focused on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI • Partner with Sales and other Field Engineering technical segments to increase revenue and help customers succeed with Databricks’ Data Intelligence Platform • Scale and maintain an outstanding, efficient Field Engineering team to accelerate Databricks’ market growth • Hire, train, and grow a team of Solutions Architects • Drive customer success and deliver significant business value • Maintain a strong pipeline of highly qualified candidates • Establish relationships across the business to support customers and the team • Ensure Solutions Architects maintain advanced knowledge of the Databricks technology stack • Ensure continuous team learning and comprehensive customer solutions

🎯 Requirements

• Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring • 8+ years of experience in the data space with a technical product, such as data warehousing, big data, machine learning, or generative AI • Trusted advisor to technical executives guiding strategic data infrastructure decisions • Experience leading technical qualification, technical validations, architecture discussions, and product demonstrations • Strong understanding of consumption-driven business models and long-term growth strategies • Experience hiring, ramping, and promoting high-performing candidates • Experience working cross-functionally with Sales, Product Management, Engineering, and Customer Success • Technical credibility with Engineering talent and leadership • Ability to influence and review complex architectures and guide teams and customers toward scalable solutions

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details available via Databricks benefits information

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