Senior Product Manager - Agentic AI & Observability Solutions

About ITRS Group

ITRS Group is a leader in real-time monitoring, observability, and automation solutions for financial services, ensuring mission-critical systems remain resilient, secure, and optimized. As we expand into AI-driven automation, we are looking for a Senior Product Manager to lead the development of agentic AI capabilities that integrate IT telemetry, AIOps, and self-healing automation to drive operational efficiency for banks, trading firms, and financial institutions.

About the Role

We are looking for a Senior Product Manager with deep expertise in AI-driven observability, IT automation, and financial services operations to drive the development and adoption of our next-generation AI-powered monitoring and automation platform. This role will focus on defining the product roadmap, collaborating with engineering teams to build AI-driven automation solutions, and working directly with financial services clients to ensure we are client needs driven in our approach.

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/a

Key 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).