manager software engineering Engineering Manager hybrid · Posted Jun 4, 2026
$182,000 – $231,000
USD per year

About this role

Root Insurance is hiring a manager-level Engineering Manager in the software engineering function as a remote position. The posting calls out experience with Python, Ruby, SQL, AWS. Compensation is listed at $182,000–$231,000 per year.

Role
Engineering Manager
Function
software engineering
Level
manager
Track
hybrid
Employment
Full-time
Location
Remote (United States)
Work mode
Remote
Department
Engineering
Posted
Jun 4, 2026

Job description

from Root Insurance careers

The Opportunity


The Senior Engineering Manager leads our Data Platform team at Root.  In this critical role, you’ll lead a team of data engineers focused on maintaining our data pipelines, data orchestration, and advanced analytics and data science capabilities. You will partner across all business units and functions to set and execute against Root’s foundational data strategy.


Salary Range: $182,000 - $231,000 (Eligible for Competitive Bonus & Equity Offering)

Root is a “work where it works best” company. This means we will support you working in whatever location that works best for you across the US.


How You Will Make an Impact

  • Set the short and long term strategy for the Data Platform in partnership with Qualitative Science, Decision Science and Product
  • Effectively manage the individuals on your team to ensure they are performing well in their role and as members of the team
  • Use an appropriate mixture of coaching, directive feedback, and delegation to achieve business, team and individual goals
  • Identify gaps in the team and develop plans to address those gaps via individual development, hiring, or partnership
  • Proactively dive into code, design reviews, and technical challenges alongside your team when necessary, demonstrating a hands-on approach to problem-solving and leading by example to ensure high-quality software development and timely project delivery
  • Work closely with the Engineering Leadership team to improve the effectiveness of the Engineering org as a whole 


What You Will Need to Succeed

  • 7+ years as a data engineer
  • 5+ years as a people manager on engineering teams
  • Experience with SQL, Python, Terraform, and AWS cloud infrastructure
  • Experience building and maintaining OLAP systems and data platforms
  • Familiarity with Ruby on Rails
  • Expertise in Cloud Architecture preferred
  • Proven leadership of projects involving multiple teams across functional domains
  • Excellent communication skills both with engineering colleagues and senior business leaders


As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We’re happy to talk it through.


Please see our Privacy Notice available HERE for more information on how we process your personal data.


Consistent with the Americans with Disabilities Act (ADA) and the Civil Rights Act of 1964, it is the policy of Root to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for Root. The policy regarding requests for reasonable accommodation applies to all aspects of the hiring process. If reasonable accommodation is needed, please contact recruiting@joinroot.com

Root is on a mission to unbreak insurance by creating experiences people love at prices they can’t believe. We believe that investing in world-class technology will facilitate a new class of insurance products, driving a massive positive impact on the hundreds of millions of drivers who carry auto insurance in the US. Root’s Engineering team is committed to building a flexible platform on which our product designers and quantitative scientists can quickly test ideas, deploy them into production, and iterate, with the ultimate objective of a delightful customer experience coupled with effective risk management.


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