Full-Time

Sr. Manager

Field Engineering, Digital Native Business

Posted on 9/23/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$201.6k - $356.6kAnnually

+ Annual Performance Bonus + Equity

Senior

Remote in USA

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Data Science
Requirements
  • Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
  • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
  • Trusted advisor to technical executives that guide strategic data infrastructure decisions
  • Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
  • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.
Responsibilities
  • You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses
  • You will maintain a robust hiring pipeline at all times
  • Establish relationships across the business to make your customers and team successful
  • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs
  • Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
  • Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
  • Strong understanding of consumption-driven business models and the recipes for long term growth and success
  • Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams
  • Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success

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

INACTIVE