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

$106.6k - $235.8kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Remote in USA

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.
Responsibilities
  • 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.
Desired Qualifications
  • Possess or be willing to develop a high degree of proficiency in foundational data/AI concepts, including the Lakehouse Architecture.
  • Experience supporting and enabling technical audiences in creating proofs-of-concept (POC) and technical solutions, with prior experience in a Pre-Sales capacity as a bonus.

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. The company operates on a subscription-based model, generating revenue from platform access, professional services, and support. The goal of Databricks 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

0%

1 year growth

3%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Databricks raised $10 billion, boosting its valuation to $62 billion in 2023.
  • The company plans to expand globally, including into the Middle East's AI sector.
  • Growing demand for real-time analytics aligns with Databricks' platform capabilities.

What critics are saying

  • Increased competition from Snowflake could impact Databricks' market share.
  • Rapid AI advancements may outpace Databricks' feature integration capabilities.
  • Regulatory scrutiny over data privacy could challenge Databricks' expansion efforts.

What makes Databricks unique

  • Databricks' lakehouse architecture combines data lakes and warehouses for efficient data management.
  • The platform supports collaborative data science and machine learning workflows at scale.
  • Databricks integrates seamlessly with major cloud services for enhanced data management.

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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