Databricks

director, field engineering in financial services

In short

This Director of Field Engineering role leads a team of pre-sales Managers and Solutions Architects at Databricks, focused on new customer acquisition within Financial Services enterprise accounts. The company is a data and AI software provider, and the role involves driving strategy, hiring and developing a rapid-growth technical pre-sales team, and supporting complex enterprise sales cycles. It demands significant second-line leadership experience (3+ years managing 30+ people, 10+ years overall) and a strong track record in enterprise software pre-sales.

About the Role
As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges. Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers.
Responsibilities
•Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects.
•Build a collaborative culture within a rapid-growth team.
•Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture and a first principles mindset.
•Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts.
•Promote a solution and value-based selling field-engineering organization.
•Display an understanding of business needs and revenue potential for accounts in the assigned region.
•Be a thought leader for Databricks and in the Data and AI ecosystem.
•Work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals.
•Create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science.
•Partner with the sales organization to help close revenue opportunities with the right approach while coaching new sales and pre-sales team members to work together.
•Guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations.
Requirements
•At least 3 years of second-line leadership experience, managing teams of 30+ individuals and 10+ years of overall leadership experience.
•Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software or cloud provider.
•Ability to elevate engagement, with a track record of driving large transactions and high-growth customers.
•Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach.
•Drive operational rigor to manage a high-growth business, with the right cadence, drive visibility and support for customer issues and feature requests.
•Proven track record of transformational success and delivery of customer value.
•Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing).
•Experience in positioning solutions in complex strategic accounts and finding a path to mutual value, and durable consumption on the Databricks platform.
•Great at instituting processes for technical field members to improve efficiency.
•Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Conditions
•Local Pay Range $218,400—$300,300 USD.
•The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
•At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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