Product Manager, Expert

Overview

A continuación, encontrará un desglose completo de todo lo que se requiere de los posibles candidatos, así como la forma de presentar su candidatura. ¡Mucha suerte!

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our 16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award‑winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry‑first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Keysight is hiring an expert product manager to own the AI Platform within Software & AI Labs. The AI Platform is the internal foundation on which Keysight's AI solutions are built, enabling teams to move from data to deployable models with speed, consistency, and scale.

This is an expert individual contributor role operating at the center of AI Labs. The successful candidate will drive cross‑organizational adoption of the AI Platform as a shared service, partnering with platform engineering, model development, business units, and application teams to standardize how AI is built, validated, packaged, and deployed across Keysight. The role begins with internal enablement as the primary mandate; scaling the platform into customer‑facing capability is a future‑state objective, not a day‑one deliverable.

Responsibilities

Platform Strategy & Ownership

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• Define and own the vision, roadmap, and success metrics for the AI Platform
  
• Establish the AI Platform as the standard framework for AI model lifecycle execution across Keysight
  
• Sequence the platform's evolution from internal enablement tool toward eventual customer‑facing capability
  

Cross-Organization Alignment (Platform as a Service)

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• Drive adoption of the AI Platform across business units as a shared service model
  
• Represent platform strategy to global stakeholders, including engineering leaders, business unit GMs, and solution owners
  
• Translate solution‑specific needs into scalable, reusable platform capabilities
  
• Enforce a platform‑first approach, reducing one‑off implementations and fragmentation
  

Product Definition & Execution

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• Own definition and delivery of core platform capabilities across the AI lifecycle (data preparation, training, validation, packaging, deployment)
  
• Define APIs and integration patterns across instruments, automation frameworks, and software systems
  
• Partner with engineering to deliver high‑quality, scalable capabilities on committed timelines
  
• Define what constitutes a production‑ready AI deliverable and establish clear handoff points from central AI teams to business units
  

Customer & Solution Integration

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• Partner with product and solution teams to align customer use cases to platform capabilities
  
• Ensure workflows are production‑ready and reusable across solutions
  
• Prepare the platform for future integration into commercial offerings
  

Metrics & Outcomes

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• Define, track, and drive improvement in adoption and impact metrics, including:
  
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  • Number of AI solutions built on the platform
    
  • Reduction in model development‑to‑deployment cycle time
    
  • Percentage of AI work executed xcskxlj on‑platform vs. off‑platform
    
  • Internal user satisfaction and time‑to‑first‑model for new teams
    
  
  
  

Qualifications

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• Bachelor's degree or above in Engineering, Computer Science, or related field
  
• 7+ years of product management experience, with demonstrated ownership of platform or infrastructure products
  
• Proven ability to define and scale platforms and end‑to‑end products across multiple stakeholder groups
  
• Experience driving cross‑organizational alignment and adoption at scale
  
• Familiarity with the Electronic Test & Measurement industry
  
• Independent professional who operates effectively with broad direction
  

Preferred Qualifications

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• Experience with MLOps platforms, data infrastructure, or AI development frameworks
  
• Familiarity with RF, hardware‑integrated, or automation workflows
  
• Experience scaling internal platforms into customer‑facing products
  
• Ability to translate technical systems into clear business value
  

Careers Privacy Statement

Keysight is an Equal Opportunity Employer.

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