Product Manager - AI Platform
2 days ago
Barcelona
ph3Overview /h3pKeysight 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. /ph3Overview /h3pKeysight 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. /ppOur 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. /ppKeysight is hiring an Expert Product Manager to own the bAI Platform /b within Software AI Labs. The AI Platform is the internal foundation on which Keysight's AI and Machine Learning (AI/ML) solutions are built, enabling teams to develop, deploy, monitor, and scale models, LLM‑based applications, Generative AI (GenAI) solutions, and AI Agents with speed, consistency, and scale /ppThis is a expert individual contributor role operating at the center of AI Labs. The successful candidate will drive bcross-organizational adoption of the AI Platform as a shared service /b, 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. /ph3Responsibilities /h3h3Platform Strategy Ownership /h3ulliDefine and own the vision, roadmap, and success metrics for the AI Platform /liliEstablish the AI Platform as the standard framework for AI model lifecycle execution across Keysight /liliSequence the platform's evolution from internal enablement tool toward eventual customer‑facing capability /li /ulh3Cross-Organization Alignment (Platform as a Service) /h3ulliDrive adoption of the AI Platform across business units as a shared service model /liliRepresent platform strategy to global stakeholders, including engineering leaders, business unit GMs, and solution owners /liliTranslate solution-specific needs into scalable, reusable platform capabilities /liliEnforce a platform-first approach, reducing one-off implementations and fragmentation /li /ulh3Product Definition Execution /h3ulliOwn definition and delivery of core platform capabilities across the AI lifecycle (data preparation, training, validation, packaging, deployment) /liliDefine APIs and integration patterns across instruments, automation frameworks, and software systems /liliPartner with engineering to deliver high‑quality, scalable capabilities on committed timelines /liliDefine what constitutes a production‑ready AI deliverable and establish clear handoff points from central AI teams to business units /li /ulh3Customer Solution Integration /h3ulliPartner with product and solution teams to align customer use cases to platform capabilities /liliEnsure workflows are production‑ready and reusable across solutions /liliPrepare the platform for future integration into commercial offerings /li /ulh3Metrics Outcomes /h3ulliDefine, track, and drive improvement in adoption and impact metrics, including:ulliNumber of AI solutions built on the platform /liliReduction in model development-to-deployment cycle time /liliPercentage of AI work executed on‑platform vs. off‑platform /liliInternal user satisfaction and time‑to‑first‑model for new teams /li /ul /li /ulh3Qualifications /h3ulliBachelor's degree or above in Engineering, Computer Science, or related field /lili7+ years of product management experience, with demonstrated ownership of platform or infrastructure products /liliProven ability to define and scale platforms and end‑to‑end products across multiple stakeholder groups /liliExperience driving cross-organizational alignment and adoption at scale /liliFamiliarity with the Electronic Test Measurement industry /liliIndependent professional who operates effectively with broad direction /li /ulh3Preferred Qualifications /h3ulliExperience with AI/ML platforms, MLOps platforms, data infrastructure, Machine Learning Operations (MLOps), Generative AI (GenAI), Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), AI Agents, or AI development frameworks. /liliFamiliarity with RF, Test Measurement, hardware‑integrated systems, engineering software, automation workflows, semiconductor, or telecommunications environments /liliExperience scaling internal platforms into customer‑facing products /liliAbility to translate technical systems into clear business value /li /ulpKeysight is an Equal Opportunity Employer. /p /p #J-18808-Ljbffr