Technical Product Line Manager

We are seeking a highly technical Product Line Manager to lead the strategy, roadmap, and lifecycle management of our Observability Platform supporting retail commerce infrastructure including POS systems, self-checkout devices, store edge infrastructure, and cloud services.
This role sits at the intersection of platform engineering, telemetry, distributed systems, AI-driven observability, and product strategy.

The Product Line Manager will define how telemetry signals from hardware, operating systems, middleware, and applications are collected, processed, analyzed, and transformed into intelligent operational insights and automated responses.

Key Responsibilities

• Define and evolve the product vision and strategy for the Observability Platform.
• Identify opportunities to deliver telemetry-driven operational intelligence across hardware devices, operating systems, middleware, and applications.
• Translate customer needs and operational challenges into scalable platform capabilities.
• Align the observability platform strategy with broader edge computing, cloud platform, and retail infrastructure initiatives.

• Define product capabilities that enable AI-driven operational intelligence, including:
• anomaly detection across metrics, logs, and traces
• Intelligent alert correlation
• predictive failure detection
• root cause analysis automation
• capacity and performance forecasting
• operational behavior baselining
• Work with engineering and data teams to enable machine learning models that analyze telemetry data and generate proactive operational insights.

Required Qualifications
•Bachelor’s degree in computer science, Software Engineering, or related technical field
•7+ years of experience in product management, platform engineering, or technical product leadership
•3+ years managing platform or infrastructure products
Strong experience with:
observability platforms 

telemetry systems
distributed systems
cloud infrastructure

AI & Data Analytics Competencies
The candidate should demonstrate familiarity with AI-driven operational analytics, including:
•anomaly detection for operational metrics
•predictive infrastructure monitoring
•machine learning applied to telemetry data
•operational data analytics
•AIOps platforms and concepts