ph3Overview /h3 pKeysight 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. /p pOur 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. /p pKeysight 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. /p pThis 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. /p h3Responsibilities /h3 pbPlatform Strategy Ownership /b /p ul liDefine and own the vision, roadmap,



and success metrics for the AI Platform /li liEstablish the AI Platform as the standard framework for AI model lifecycle execution across Keysight /li liSequence the platform's evolution from internal enablement tool toward eventual customer‑facing capability /li /ul pbCross-Organization Alignment (Platform as a Service) /b /p ul liDrive adoption of the AI Platform across business units as a shared service model /li liRepresent platform strategy to general stakeholders, including engineering leaders, business unit GMs, and solution owners /li liTranslate solution‑specific needs into scalable, reusable platform capabilities /li liEnforce a platform‑first approach, reducing one‑off implementations and fragmentation /li /ul pbProduct Definition Execution /b /p ul liOwn definition and delivery of core platform capabilities across the AI lifecycle (data preparation, training, validation, packaging, deployment) /li liDefine APIs and integration patterns across instruments, automation frameworks, and software systems /li liPartner with engineering to deliver high‑quality,



scalable capabilities on committed timelines /li liDefine what constitutes a production‑ready AI deliverable and establish clear handoff points from central AI teams to business units /li /ul pbCustomer Solution Integration /b /p ul liPartner with product and solution teams to align customer use cases to platform capabilities /li liEnsure workflows are production‑ready and reusable across solutions /li liPrepare the platform for future integration into commercial offerings /li /ul pbMetrics Outcomes /b /p ul liDefine, track, and drive improvement in adoption and impact metrics, including: ul liNumber of AI solutions built on the platform /li liReduction in model development‑to‑deployment cycle time /li liPercentage of AI work executed on‑platform vs. off‑platform /li liInternal user satisfaction and time‑to‑first‑model for new teams /li /ul /li /ul h3Qualifications /h3 ul liBachelor's degree or above in Engineering, Computer Science, or related field /li li7+ years of product management experience, with demonstrated ownership of platform or infrastructure products /li liProven ability to define and scale platforms and end‑to‑end products across multiple stakeholder groups /li liExperience driving cross‑organizational alignment and adoption at scale /li liFamiliarity with the Electronic Test Measurement industry /li liIndependent professional who operates effectively with broad direction /li /ul h3Preferred Qualifications /h3 ul liExperience with MLOps platforms, data infrastructure, or AI development frameworks /li liFamiliarity with RF, hardware‑integrated, or automation workflows /li liExperience scaling internal platforms into customer‑facing products /li liAbility to translate technical systems into clear business value /li /ul pCareers Privacy Statement /p pKeysight is an Equal Opportunity Employer. /p /p #J-18808-Ljbffr

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