This role reports into the Chief of Product and the role can be hybrid Chicago / New York. Approx. Salary for this role will be: $115,000 - $170,000 p/aKey Responsibilities
Product Strategy & Vision
Define and execute the product strategy for AI-driven observability, AIOps, and agentic automation solutions tailored for financial institutions. Align AI automation capabilities with banking IT, trading platforms, and real-time transaction monitoring use cases. Identify customer aspiration and pain points in real-time monitoring, infrastructure management, and operational automation. AI & Observability Product Development
Work with engineering teams to develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Event-driven automation (Terraform, Ansible, ServiceNow, AIOps). Define technical requirements and architecture priorities for engineering teams. Partner with data scientists to improve AI-driven predictive analytics, anomaly detection, and root cause analysis. Customer & Market Engagement
Collaborate with banks, trading firms, and financial services IT teams to understand operational challenges. Develop use cases for AI-driven observability, fraud detection, self-healing infrastructure, and compliance monitoring. Work closely with sales and customer success teams to drive adoption and demonstrate product value. Represent ITRS at industry conferences, financial technology summits, and AI automation forums. Go-to-Market & Commercialization
Define pricing models for AI-driven automation solutions. Partner with marketing and sales teams to create compelling product messaging and positioning. Collaborate on pilot programs with key banking clients to validate real-world impact.
What We're Looking For
✅ Must-Have Skills & Experience
10+ years of product management experience in observability, AI automation, AIOps, or IT operations for financial services. Deep understanding of banking IT architectures, including trading systems, core banking, risk management, and fraud detection. Experience working with AI-driven monitoring, predictive analytics, or automation tools. Hands-on experience with telemetry data (logs, metrics, traces) and IT infrastructure monitoring (e.g., OpenTelemetry, Prometheus, ELK, Splunk, ITRS Geneos, Datadog, Dynatrace, etc.). Knowledge of AI/ML frameworks (TensorFlow, PyTorch, MLflow) and automation tools (Terraform, Ansible, ServiceNow ITSM). Technical background or strong understanding of software engineering, cloud infrastructure, and DevOps. Bonus Skills
Experience in AIOps or intelligent automation. Understanding of real-time streaming architectures (Kafka, Flink, Kinesis). Knowledge of agentic AI systems and decision-making frameworks (LangChain, AutoGPT). Familiarity with cloud-native financial services architectures (AWS, Azure, GCP). ","identifier":{"@type":"PropertyValue","name":"id","value":"df60a9e5-0cae-44cd-a035-a41a83adb299"},"datePosted":"2025-03-11T00:00:00.000Z","hiringOrganization":{"@type":"Organization","name":"ITRS","logo":"https://workablehr.s3.amazonaws.com/uploads/account/logo/598925/logo","url":"https://www.itrsgroup.com/","description":"Through its complete end-to-end monitoring platform, ITRS drives real-time observability for the entire IT environment. We give customers the ability to use technology to drive business performance and provide better outcomes.
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