Engineering Manager - Data & ML
@ Underdog

Hybrid
$208,000
Hybrid
Full Time
Posted 23 hours ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXXX***** @underdog.com
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Job Details

About Underdog

At Underdog, we make sports more fun. Our mission is to build the best products and become the biggest company in the sports space. Valued recently at $1.3B, we are one of the fastest-growing sports companies, and the journey is just beginning.

About the Role

As an Engineering Manager - Data & ML, you will redesign and scale the backbone of our data and machine learning platform. This role is focused on driving technical excellence in data quality, availability, and scalability while managing and mentoring a high-performing team.

  • Roadmap and architect scalable data and ML platform.
  • Establish best practices for operational excellence in data.
  • Collaborate with data science, analytics, and product teams.
  • Manage cloud infrastructure for big data and ML workloads.
  • Design and implement optimized data pipelines.
  • Lead and mentor a growing data engineering team.
  • Stay updated on industry trends and emerging technologies.
  • Develop robust governance frameworks and testing processes.

Who You Are

You have at least 8+ years of experience in data engineering/infrastructure and machine learning roles along with 2+ years managing teams of 5 or more. You are proficient in distributed computing, cloud data storage, Python, SQL, and IAC tools. A strong background in cutting-edge technologies and proven leadership abilities are essential.

Bonus Skills

Experience in sports, sports betting, or building ML systems like recommendation engines.

Compensation & Benefits

The starting base salary for this position ranges from $208,000 to $310,000, plus pre-IPO equity. Benefits include unlimited PTO, 16 weeks of fully paid parental leave, home office stipend, connected virtual culture, 5% 401k match, and comprehensive health benefits.

Licensure and Equal Opportunity

This position may require sports betting licensure based on state regulations. Underdog is an equal opportunity employer.

Key skills/competency

  • Data Engineering
  • Machine Learning
  • Cloud Infrastructure
  • Team Leadership
  • Scalability
  • Operational Excellence
  • Data Pipelines
  • Governance
  • Strategic Planning
  • Python

How to Get Hired at Underdog

🎯 Tips for Getting Hired

  • Research Underdog's culture: Know their focus on sports innovation and growth.
  • Customize your resume: Highlight data engineering and leadership experience.
  • Showcase technical skills: Emphasize cloud, Python, and ML expertise.
  • Prepare for behavioral interviews: Demonstrate team management and problem-solving skills.
  • Network strategically: Connect via LinkedIn with team members.

📝 Interview Preparation Advice

Technical Preparation

Review cloud platform best practices.
Study data pipeline architectures.
Practice infrastructure as code scenarios.
Refresh Python and SQL skills.

Behavioral Questions

Describe handling tight deadlines.
Explain team conflict resolution.
Discuss managing cross-functional teams.
Share leadership success examples.

Frequently Asked Questions