Full-Time

Manager – Field Engineering

Startups

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

$178.9k - $316.3kAnnually

+ Annual Performance Bonus + Equity

Senior, Expert

Washington, USA + 2 more

More locations: Oregon, USA | California, USA

Job locations are focused on the west coast of the United States.

Category
Data Science
Data Engineering
Data & Analytics
Required Skills
Sales
Data Science
Product Management
Databricks
Requirements
  • 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
  • Experience building and leading technical pre-sales teams - hiring, onboarding, and supporting pre-sales professionals in hypergrowth environments; building a territory; up-selling strategic accounts; and exceeding annual quotas.
  • Lead a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
  • Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.
  • Create positive morale for the team, establish work-life balance and help foster a healthy and productive working relationship within the team and between Field Engineering, Sales, and other important internal partners.
  • Experience working with other teams such as Sales, Product Management, Industry Got to Market and Customer Success.
  • Experience with driving executive alignment in accounts that guides strategic data infrastructure decisions and establish partnerships through adoptions and growth.
Responsibilities
  • You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
  • Consistently meets or exceeds sales target - by making sure your SA team knows how to qualify accounts, especially from a technical perspective, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle; lead the technical win.
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  • Establish relationships across the business (partners, sales, GTM) to make your customers and team successful.

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