Product Manager (AI Platforms)

Responsibilities

• 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
• 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
• Own definition and delivery of core platform capabilities across the AI lifecycle (data preparation, training, validation, packaging, deployment)
• 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
• 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
• 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-organization 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