Engineering Manager II, Telematics Technology

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the engineering domain of Telematics Technology

• Supervise engineers responsible for deploying, supporting, and operating production systems that convert detailed driving data into risk signals

• Collaborate with Data Science, Pricing, Underwriting, and other stakeholders to define domain strategy

• Establish a long-term vision and quarterly plans for the Telematics Platform and Telematics Experience

• Convert product and data strategies into practical engineering roadmaps

• Balance the delivery of features with the stability of the platform and prioritize technical investments

• Manage and mentor the engineering team

• Promote an environment of mutual trust, open communication, ownership, accountability, and continuous growth

• Identify talent gaps and lead efforts in recruitment, onboarding, and organizational structuring

• Direct the architecture for telematics pipelines, ensuring observability, reliability, and scalability

• Oversee intricate technical projects and apply insights from postmortem analyses

• Enhance development processes to speed up time-to-market

• Advocate for engineering excellence throughout the organization

⛳️ Requirements

• Minimum of 6 years in software engineering

• At least 3 years of experience in technical leadership or engineering management

• Proven experience leading teams through scaling or high-complexity periods

• Capability to convert product, data, and ML roadmap requirements into actionable engineering plans

• Strong technical judgment in building and scaling distributed data pipelines

• In-depth knowledge of modern cloud infrastructure, including AWS, Terraform, and serverless architecture

• Demonstrated success in developing engineers at various levels of seniority

• Experience in implementing development practices that balance rapid experimentation with production stability

• Familiarity with build-measure-learn culture, technical debt management, retrospectives, and sprint planning

• Proactive in adopting and integrating AI tools and technologies

• On-camera participation is required for virtual interviews

• Experience in MLOps, data science, telematics/sensor data pipelines, insurance or financial services background, and familiarity with Datadog are advantageous

🏝️ Benefits

• Competitive bonus structure

• Equity offerings

• Flexibility to work from any location across the US

• Reasonable accommodations available throughout the hiring process