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Databricks

Builds cloud software for data analysis and AI

Manager – Field Engineering - Manufacturing

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

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

Responsibilities

  • Hire, train, grow, and manage a team of Solutions Architects.
  • Help customers succeed with Databricks and deliver value to their businesses.
  • 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 the team technically current by supporting continuous learning and advanced knowledge of the data and AI technology stack.
  • Lead the team in technical qualification, proof of concepts, architecture discussions, and product demonstrations.
  • Create a positive team culture and foster working relationships among Field Engineering, Sales, and other internal partners.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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