Lead Software Engineer, AI Platform

🕒 September 1

🇺🇸 United States – Remote

💵 $164.2k - $240k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 26%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Root Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🚘 Automotive

💼 Consulting

🛡️ Insurance

💰 $200M Post IPO debt on 2024-11

Automotive • Consulting • Insurance

Root Inc. is an auto insurance company that uses a mobile app and smartphone sensor telematics to measure driving behavior and price policies primarily based on how safely customers drive. The company offers a "test drive" period to gather driving data, provides in-app quotes, policy management, and claims filing, and sells roadside assistance and other coverages across many U. S. states. Root targets consumer drivers (B2C) seeking usage-based insurance and emphasizes savings for safer drivers.

📋 Description

• Lead delivery of shared AI platform services, tools, deployment patterns, and operational practices • Set quarterly technical priorities balancing user needs with foundational investments • Drive decisions on reliability, security, observability, cost, and developer experience • Coordinate dependencies across product engineering, data, security, and platform teams • Create reusable patterns for architecture, testing, documentation, and production operations • Coach engineers through complex designs, delivery challenges, and technical tradeoffs • Keep stakeholders informed about progress, risks, and decisions

🎯 Requirements

• 5+ years as a software engineer • 1+ years leading software teams or major technical initiatives • Ability to lead team-level technical delivery and make sound decisions in partially defined problem spaces • Deep experience with cloud infrastructure, preferably AWS, Terraform, and modern DevOps practices • Experience designing secure, observable, reliable systems and incorporating technical investments into team roadmaps • Strong understanding of AI/LLM application and platform patterns, including operational and security implications • Ability to identify cross-team dependencies, align stakeholders, and improve delivery outcomes • Coaching mindset and track record of helping teammates grow through complex technical work • Clear written and verbal communication • Must be on camera for virtual interviews

🏖️ Benefits

• Competitive bonus • Equity offering • Work from whatever location works best across the US • Reasonable accommodation throughout the hiring process