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Databricks

Builds cloud software for data analysis and AI

Manager – Field Engineering - Strategic Digital Native Business

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 4 years of experience in the data space with a technical product, such as data warehousing, big data, cloud infrastructure, or machine learning.
  • At least 3 years of experience building and leading technical customer-facing teams, including hiring, onboarding, and supporting team members in a high-growth environment.
  • A history of building a territory, growing strategic accounts, and exceeding targets.
  • Ability to inspire a team vision about the unique nature of the digital natives business.
  • A history of execution by managing workloads and consumption with sales, product, and engineering counterparts.
  • Experience owning executive alignment in accounts that guide strategic decisions.

Responsibilities

  • Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
  • Adapt the Solutions Architect team's skills and engagement model to match the needs of digital native customers.
  • Consistently meet or exceed targets by ensuring the Solutions Architect team can technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life cycle.
  • Travel to customer sites for executive sessions, technical workshops, and building relationships.
  • Establish relationships across internal organizations, including engineering, product, services, and sales, to ensure the success of customers and the team.
  • Stay current with emerging data and AI trends in the digital native tech sector.
  • Represent Databricks as a technical leader with important customers.
  • Work closely with sales, services, product, and engineering to drive solutions and outcomes for highly technical customers.
  • Clearly explain and demonstrate complex solutions to internal and external stakeholders.

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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