Remote Enterprise AI Solutions Architect (Pre-Sales)

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San Francisco, Northern (CA, KY)

Hybrid

USD 180,000 - 248,000

Full time

14 days+
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Job summary

Databricks, based in San Francisco with global offices, is seeking an experienced pre-sales professional to act as the technical voice for large enterprise accounts. You will work with an AE to define strategy and drive adoption of the Data + AI Platform, leveraging your background in value selling and technical leadership.

You will collaborate with hands-on teams to build proofs of concept, align strategies around Databricks solutions, and mentor other team members while engaging executives to

Qualifications

  • Experience with very large (> $1m ARR) global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to decision-makers.
  • Technical in big data, data science and cloud.
  • Production programming in Python, R, Scala or Java.
  • Nice to have: Databricks Certification.

Responsibilities

  • You will be the main technical voice for Databricks with multiple clients.
  • Lead customers on a transformational journey to adopt Databricks as part of their strategy.
  • Implement the technical strategy in the account, with understanding of the strategy.
  • Build a movement of technical champions within the account.
  • Align technical strategies around Databricks solutions.
  • Provide structured mentorship for other team members.
  • Gain the respect of peers based on your experience, insight, and contributions.

Skills

Big data
Data science
Cloud
Python
R
Scala
Java
Databricks Certification

Job description

Databricks, based in San Francisco with global offices, is seeking an experienced pre-sales professional to act as the technical voice for large enterprise accounts. You will work with an AE to define strategy and drive adoption of the Data + AI Platform, leveraging your background in value selling and technical leadership.

You will collaborate with hands-on teams to build proofs of concept, align strategies around Databricks solutions, and mentor other team members while engaging executives to

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