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Databricks

Builds cloud software for data analysis and AI

Field Engineering Manager - Specialist Solutions Architects

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeStockholm, SwedenNo salary listed

About the Job

Requirements

  • At least 5 years of experience leading Data and AI Engineering teams, technical pre-sales teams, and/or post-sales teams, with a proven track record managing highly technical individual contributors.
  • At least 5 years of hands-on experience developing data solutions with highly technical platforms, such as distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure.
  • Strong skills in technical discovery, architecture design validation, structured proof-of-concept or minimum viable product management, and value-selling frameworks.
  • Experience advising technical executives on strategic data infrastructure decisions.
  • Experience hiring qualified candidates, ramping them up for success, and promoting them into larger roles.
  • Experience working with teams such as Sales, Product Management, and Forward Deployed Engineering.

Responsibilities

  • Lead a team of Specialist Solutions Architects responsible for key elements of the technical sales cycle.
  • Grow and develop a dynamic team with expertise in enterprise software, data engineering, and data science/machine learning, while deepening its knowledge of the Databricks platform.
  • Guide the team and participate in improving its effectiveness; communicate complex, business-value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations.
  • Provide specialist expertise to Solution Architect and Sales teams responsible for developing and overseeing the overall technical account strategy.
  • Hire, train, and develop a diverse team of Specialist Solutions Architects.
  • Exceed regional consumption targets by working with cross-functional counterparts to determine where to deploy technical experts to advance critical use cases.
  • Help customers succeed with Databricks and deliver value to their businesses.
  • Establish relationships across the business to support customer and team success.
  • Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota.
  • Foster positive team morale and working relationships between Field Engineering, Sales, and other internal partners.
  • Help resolve customer questions and concerns on accounts and opportunities identified as strategic by Sales and pre-sales field leadership.
  • Handle escalations, mentor team members, and build career paths for assigned team members.

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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