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A leading data and AI company is seeking a Manager, Field Engineering in London. You will lead a pre-sales Solutions Architect team to enhance effectiveness and boost revenue. Ideal candidates have extensive experience in pre-sales management and cloud technology. The company promotes a diverse culture and offers comprehensive benefits.
London, United Kingdom
REQ ID: FEQ426R329
Recruiter: Dina Hussain
Location: London, United Kingdom
As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion. Your experience partnering with sales organisations will help to close revenue with opportunities of +$1M ARR, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team\'s effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.
You will report to the Senior Director, Field Engineering.
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer\'s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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