Senior Product Manager, AI Platform & Scale

Keysight Technologies SAles Spain SL.; Loveland (CO); On-site; USD 138,750 - 231,250; Full time

Benefits offered by this job

Medical, dental and vision

Health Savings Account

Flexible Time Off

401(k) Plan

Paid Holidays

Tuition Reimbursement

Job summary

Keysight Technologies Inc. is seeking an Expert Product Manager to own the AI Platform within Software & AI Labs.

This expert individual contributor 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, with scaling the platform

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• 7+ years of product management experience with platform or infrastructure products.
• Proven ability to scale platforms and coordinate multiple stakeholders.
• Experience driving cross-organizational adoption at scale.
• Familiarity with the Electronic Test & Measurement industry.

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.
• Coordinate evolution from internal enablement to future customer-facing capability.
• Drive platform adoption across business units as a shared service model.
• Translate needs into scalable platform capabilities and enforce a platform-first approach.

Skills

Platform ownership

Cross-org alignment

Product management

ETM industry familiarity

Education

Bachelor's degree or above in Engineering/CS

Job description

Keysight Technologies Inc. is seeking an Expert Product Manager to own the AI Platform within Software & AI Labs.

This expert individual contributor 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, with scaling the platform