Remote Enterprise AI Solutions Architect

Cacheflow; Town of Texas (WI); On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks is seeking an experienced pre-sales professional to lead technical strategy for large enterprise accounts, collaborating with an AE to drive adoption of ML and AI across High Tech and Manufacturing. You will be the technical voice, leveraging value selling and Python/Scala/Java expertise to architect proofs of concept with hands-on resources.

You will mentor teammates, form executive relationships, and align technical approaches with Databricks solutions.

Qualifications

• Experience in value selling and technical account management.
• Lead the technical strategy for large enterprise accounts.
• Understand ML/AI use cases across high tech and manufacturing.
• Produce proofs of concept with hands-on resources.
• Databricks Certification is a nice to have.

Responsibilities

• You will be the main technical voice for Databricks with multiple clients.
• You lead customers on a transformational journey to adopt Databricks.
• You implement the technical strategy in the account.
• Build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on experience and contributions.

Skills

Virtual team leadership

Global enterprise accounts

Executive relationship building

Technical point-of-view

Big data cloud

Value selling

Production programming

Databricks Certification

Job description

Databricks is seeking an experienced pre-sales professional to lead technical strategy for large enterprise accounts, collaborating with an AE to drive adoption of ML and AI across High Tech and Manufacturing. You will be the technical voice, leveraging value selling and Python/Scala/Java expertise to architect proofs of concept with hands-on resources.

You will mentor teammates, form executive relationships, and align technical approaches with Databricks solutions.