Keysight Technologies, Inc

Product Manager (AI Platforms)

Keysight Technologies, Inc$138K — $231K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field
  • 7+ years of product management experience with platform ownership
  • Proven ability to define and scale platforms across stakeholder groups
  • Experience with cross-organizational alignment at scale
  • Familiarity with the Electronic Test & Measurement industry
  • Independent professional operating effectively under broad direction

Responsibilities

  • Define and own the vision, roadmap, and success metrics for the AI Platform
  • Establish the AI Platform as the standard for AI model lifecycle execution
  • Drive adoption of the AI Platform across business units
  • Translate specific needs into scalable platform capabilities
  • Define core platform capabilities across the AI lifecycle
  • Partner with engineering to deliver scalable capabilities on time
  • Define production-ready AI deliverables and handoff points

Benefits

  • Flexible working arrangements
  • Opportunities for career advancement
  • Support for ongoing professional development
  • Inclusive company culture promoting collaboration
  • Access to cutting-edge technology and tools
Full Job Description
Overview

Keysight Technologies 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 a 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

  • 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)

  • 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

  • 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

  • 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

  • Define, track, and drive improvement in adoption and impact metrics, including:


  • Number of AI solutions built on the platform


  • Reduction in model development-to-deployment cycle time


  • Percentage of AI work executed on-platform vs. off-platform


  • Internal user satisfaction and time-to-first-model for new teams


Qualifications

  • 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

  • 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


About Keysight Technologies, Inc

Keysight Technologies, Inc. is a leading technology company that helps its engineering, enterprise and service provider customers optimize networks and bring electronic products to market faster and at a lower cost. Keysight's solutions go where the electronic signal goes, from design simulation, to prototype validation, to manufacturing test, to optimization in networks and cloud environments. Customers span the worldwide communications ecosystem, aerospace and defense, automotive, energy, semiconductor and general electronics end markets.
Learn more about Keysight Technologies, Inc
Size
14,500 employees
Market Cap
$30.3 billion
Industry
Net Income
$636 million
Founded
1939
5 Year Trend
+11.2%
Revenue
$4.3 billion
NASDAQ

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