Product Manager, Expert (Madrid)

Product Manager, Expert (Madrid)

30 jul
|
Keysight Technologies Sales Spain
|
Madrid

30 jul

Keysight Technologies Sales Spain

Madrid

Overview 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

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 general 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

Careers Privacy Statement

Keysight is an Equal Opportunity Employer.

📌 Product Manager, Expert (Madrid)
🏢 Keysight Technologies Sales Spain
📍 Madrid

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