Hiring: Lead Product Engineer – (AIOps for Observability) - Remote Company: Allstate Location: United States Job Posted Time: 2026-09-10 13:38:18 Employment Type: Contract / Hybrid Target Skills & Keywords : Agile, AppDynamics, CI/CD, Cloud Native, Datadog, Dynatrace, Event-Driven, Java, Kubernetes, LLM, Linux, Microservices, New Relic, Node.js, OTEL, OpenTelemetry, Product Strategy, Python, React, Root Cause Analysis, Spring Boot About the job Experience: •90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. •5+ years of engineering experience building software, platforms, or automation solutions, with a strong emphasis on observability and distributed systems. •4+ years of hands-on experience with observability platforms (Datadog, Dynatrace, OTEL). •3+ years of software development experience using Java (Spring Boot), Python, Node.js, or React. •2+ years of hands-on experience building agentic AI systems (autonomous agents, AI workflows, or AI-native applications). Required Skills: •Allstate is seeking a forward-thinking Lead Product Engineer to drive innovation in its AI-powered Observability platform. This role sits at the intersection of AI engineering, observability, and software development, with a strong focus on automation, intelligent insights, and self-healing systems across hybrid and multi-cloud environments. •Lead the design and development of next-generation observability solutions powered by agentic AI, enabling proactive detection, diagnosis, and remediation of issues. This role emphasizes building scalable platforms, intelligent automation, and developer-centric tooling that enhance reliability, performance, and operational efficiency. •As a technical leader, you will shape product strategy, drive engineering excellence, and deliver AI-driven monitoring and automation capabilities that transform how applications and platforms are operated across the enterprise. •Design and build agentic AI solutions for observability, including autonomous agents capable of anomaly detection, root cause analysis, and automated remediation. •Embed AI/ML capabilities into observability platforms to enable predictive insights, anomaly detection, and intelligent alerting. •Develop AIOps frameworks that reduce noise, automate workflows, and improve incident response times. •Leverage LLMs and AI orchestration frameworks to create self-service diagnostics and operational assistants. •Architect and implement end-to-end observability solutions across logs, metrics, traces, and events. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!