Technical Product Line Manager

Posted 3 Days Ago
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Hiring Remotely in Guadalajara, Jalisco, MEX
Remote
Senior level
Artificial Intelligence • Hardware • Internet of Things • Other • Energy
The Role
Lead strategy, roadmap, and lifecycle of an observability platform for retail infrastructure. Define telemetry collection, processing, analytics, and AI-driven operational insights. Own product lifecycle, collaborate on architecture, ensure high-volume telemetry ingestion, and enable ML-powered anomaly detection, correlation, predictive failure, and automated root-cause analysis.
Summary Generated by Built In

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

Product Strategy & Vision

  • 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.

Product Line Ownership
•Own the full product lifecycle including strategy, roadmap development, prioritization, release planning, and lifecycle management.
•Define the platform capability roadmap including telemetry collection, data processing, analytics, visualization, and automated response mechanisms.
•Manage product evolution across multiple technology layers.

  • Observability Platform Architecture
  • Collaborate with engineering teams to define and evolve the architecture.
  • Ensure the platform supports high-volume telemetry ingestion across large fleets of retail devices and systems.

AI-Driven Observability & AIOps

  • 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

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, or related technical field
  • 7+ years experience in product management, platform engineering, or technical product leadership
  • 3+ years managing platform or infrastructure products
  • Strong experience with observability platforms
  • Strong experience with telemetry systems
  • Strong experience with distributed systems
  • Strong experience with cloud infrastructure
  • Familiarity with anomaly detection for operational metrics
  • Familiarity with predictive infrastructure monitoring and forecasting
  • Experience applying machine learning to telemetry data and operational analytics
  • Knowledge of AIOps platforms and concepts, intelligent alert correlation, and automated root cause analysis

Toshiba Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Toshiba and has not been reviewed or approved by Toshiba.

  • Healthcare Strength Health, dental, and vision coverage, along with disability, life insurance, FSAs, and mental health support, are available across major U.S. subsidiaries. Coverage begins at hire in some entities and is described as comprehensive.
  • Leave & Time Off Breadth Paid time off that grows with tenure and multiple paid holidays, including a year‑end shutdown in some units, are standard offerings. Family and medical leave options are also highlighted in several regions.
  • Retirement Support 401(k) plans with employer matching are offered in multiple divisions, complemented by programs like an employee stock purchase plan and performance bonuses. These financial benefits provide structured long‑term savings support.

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The Company
HQ: Tokyo
10,001 Employees
Year Founded: 1875

What We Do

For over 140 years, Toshiba Group has contributed to a sustainable future by applying innovative technologies to value creation. Today, our business domains center on energy, social infrastructure, electronic devices and digital solutions, all essential supports for modern life and society. Guided by the principles of The Basic Commitment of the Toshiba Group, “Committed to People, Committed to the Future”, Toshiba Group promotes global operations that contribute to the realization of a world where generations to come can live better lives.

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