Full-Time

Data Engineering Manager

Posted on 10/9/2024

Galileo

Galileo

51-200 employees

Platform for improving machine learning models

Data & Analytics
AI & Machine Learning

Compensation Overview

$230kAnnually

+ Equity

Senior

Remote in USA

Category
Data Engineering Management
Engineering Management
Data & Analytics
Required Skills
Data Analysis
Requirements
  • 8+ years of software/data engineering experience, with at least 3+ years of management experience.
  • Experience leading and growing a data engineering team. Providing mentorship, managing performance, providing feedback, and helping data engineers grow, advance and succeed.
  • Skilled at communication around technical concepts and ideas, particularly with non-technical stakeholders.
  • A deep focus on quality; experience with tools and techniques to ensure any data pipelines are robust and error-free.
  • Consistent performance in delivering high-impact results.
  • Bonus: You have experience with the particular challenges of wrangling healthcare data.
Responsibilities
  • Lead a team of data engineers to grow and scale our data pipeline, tools, and infrastructure.
  • Partner with our product teams to help guide and shape the roadmap and enable rich data-driven experiences.
  • Work closely with our analytics team to define and own the current and future data model.
  • Set goals for team members, evaluate performance, provide mentorship and facilitate professional development.
  • Drive a high-performance culture within your team that can continuously build, iterate, and learn without sacrificing quality.

Galileo offers a platform that helps machine learning teams enhance their models and lower annotation costs by using data-centric algorithms for Natural Language Processing. It allows teams to quickly identify and fix data issues that affect model performance and provides a collaborative space to manage models from raw data to production. Unlike competitors, Galileo integrates easily with existing tools and focuses on actionable insights, security, and privacy, while also streamlining the data labeling process. The company generates revenue through subscription fees for its services.

Company Stage

Series B

Total Funding

$66.2M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

61%

1 year growth

9%

2 year growth

243%
Simplify Jobs

Simplify's Take

What believers are saying

  • Galileo raised $45M in Series B funding, boosting its growth potential.
  • The platform's focus on data-centric AI aligns with rising industry trends.
  • Galileo Luna EFMs offer faster, cost-effective GenAI evaluations, enhancing enterprise adoption.

What critics are saying

  • Open-source AI models are rapidly improving, challenging Galileo's proprietary solutions.
  • EU regulatory changes could impact Galileo's market expansion in Europe.
  • High costs of large language models may limit adoption among smaller enterprises.

What makes Galileo unique

  • Galileo integrates quickly with existing tools, enhancing actionability, security, and privacy.
  • It offers a collaborative data bench for efficient model tracking and fixing.
  • Galileo's platform auto-detects mis-annotated data and supports bulk labeling.

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