Product Manager

Overview

Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more about what we do.

At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture. Learn more about our benefits.

Responsibilities

Role Overview

• The Product Manager is accountable for defining and driving data-driven products, AI solutions, analytics, and digital capabilities that improve planning, decision-making, productivity, and operational efficiency across the organization.
• The role combines product management, data analysis, business understanding, and technical knowledge to translate business needs and data insights into product requirements and scalable technology solutions.
• The successful candidate will work cross-functionally with Product Planning, R&D, Business Engineering, Data/AI teams, IT, and leadership to identify opportunities, define requirements, prioritize product capabilities, and deliver solutions from concept through deployment and adoption.

Key Responsibilities

Qualifications

Qualifications

• Bachelor’s degree in Data Science, Data Analytics, Engineering, Information Technology, Information Systems, Computer Science, or a related technical discipline.
• Minimum of 8–10 years of relevant experience in technical product management, data analytics, business intelligence, software/data solutions, digital transformation, or related technology roles, preferably within a technology organization.
• Strong experience in data analysis and data-driven decision-making, with the ability to explore complex datasets, identify trends and patterns, develop insights, and translate findings into product requirements and business actions.
• Experience defining product requirements, user stories, business rules, data requirements, acceptance criteria, and product roadmaps, with familiarity with Agile product development and the software development lifecycle.
• Working knowledge of data technologies and software/data architecture concepts, including data modeling, databases, data pipelines, system integration, and enterprise applications. Experience with Python, cloud data platforms, or comparable technologies is an advantage.
• Experience or strong exposure to AI, machine learning, GenAI, analytics, automation, or digital solutions, with the ability to evaluate business use cases and work effectively with technical teams to bring solutions into production.
• Strong stakeholder management and communication skills, with the ability to work across business, engineering, data, AI, and leadership teams and communicate technical or analytical concepts clearly to technical and non-technical audiences.
• Ability to balance business value, user needs, data insights, technical feasibility, and attention to detail, while operating effectively in a fast-paced and evolving technology environment.
• PMP, Agile, Lean, or Six Sigma certification is an added advantage.

Why This Role Matters

• This role sits at the intersection of product management, data, technology, and digital transformation, turning business needs and insights into scalable product solutions and measurable business outcomes.
• By driving data-driven product decisions, cross-functional collaboration, and effective execution, this role delivers solutions that enhance user experience, improve productivity, and create sustainable value across the organization.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***