Full-Time

Staff Technical Enablement Specialist

Regulated Industries

Confirmed live in the last 24 hours

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$113.3k - $200.4kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Remote in USA

This is a fully remote position.

Category
Data Management
Data Science
Data & Analytics
Required Skills
Databricks
Requirements
  • 6+ years of relevant experience in technical pre-sales, technical enablement, or data/ai technical-adjacent roles.
  • Experience delivering large-scale training and enablement solutions in a Tech or Data/AI company, targeted at a technical audience.
  • An understanding of the processes and nuances associated with a technical platform-as-a-service sales and delivery motion.
  • Possess or be willing to develop proficiency in foundational Data/AI concepts, the Lakehouse Architecture and Databricks product.
  • Experience supporting and enabling technical audiences in creating complex proofs-of-concept and technical solutions to support customer needs.
  • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences.
  • Prior direct experience in a Pre-Sales role building POCs and technical solutions is a bonus.
Responsibilities
  • Through a strong grasp of the consumption sales model, you will apply best practices to assess and improve enablement programs to boost Field engineering productivity.
  • Partner closely with leadership, Sales Enablement and other stakeholders to discover, validate, prioritize, and scale technical enablement initiatives.
  • Drive global Field Engineering enablement strategy through innovative programs, covering analysis, design, development, implementation, and reporting oversight.
  • Align programs with BU-strategic priorities to contribute to the global roadmap.
  • Collaborate cross-functionally to keep up-to-date with a fast-evolving Databricks Platform, product, messaging, capabilities, and new processes.
  • Lead, facilitate, and coordinate enablement sessions, workshops, and other launches in the region for a technical audience.

Databricks provides a platform that combines the features of data lakes and data warehouses, referred to as lakehouse architecture. This platform allows organizations to efficiently manage, analyze, and gain insights from their data. It caters to a diverse clientele, including data engineers, data scientists, and business analysts in sectors like finance, healthcare, and technology. Databricks streamlines data ingestion, management, and analysis through automated ETL processes, secure data sharing, and high-performance analytics. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data effectively for better decision-making and insights.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$13.6B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

38%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion for AI product development and global expansion.
  • The company plans to expand into Saudi Arabia, aligning with Vision 2030.
  • Partnerships with cloud providers enhance Databricks' scalability and performance.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • The acquisition of Tabular may pose integration challenges and disrupt operations.
  • Rapid expansion into new markets may expose Databricks to geopolitical risks.

What makes Databricks unique

  • Databricks offers a unified platform combining data lakes and warehouses, known as lakehouse.
  • The platform supports collaborative data science and machine learning workflows.
  • Databricks integrates with major cloud services for seamless data management and analysis.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave