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.
Responsibilities:
Lead PMA Customer Product Engineering (CPE) and drive PMA product roadmap, AI innovation, and customer requirement management. Partner with Customer Success, Product Management, Field, and R&D teams to translate customer needs into manufacturing analytics solutions, support PMA cadence releases, and accelerate adoption of AI-powered capabilities. Requires strong ICT manufacturing domain expertise, customer engagement experience, and proven leadership in software product delivery.
Key Responsibilities
Product & Roadmap Execution
- Serve as the PMA CPE Manager and lead customer-focused product engineering initiatives.
- Drive execution of PMA product roadmaps and cadence releases in collaboration with Product Management and R&D teams.
- Support planning, prioritization, and delivery of PMA features, enhancements, and AI-driven innovations.
- Balance customer requirements, business priorities, and engineering resources to maximize product value.
Customer Engagement & Requirement Management
- Partner closely with Customer Success, Product Management, Sales, and Field teams to gather and prioritize customer requirements.
- Act as the technical representative for PMA in customer discussions, workshops, demonstrations, and escalation reviews.
- Translate customer feedback into actionable product requirements and influence roadmap decisions.
- Manage requirement traceability from customer request through development and release.
- Establish strong relationships with customers to understand manufacturing analytics challenges and opportunities.
AI & Innovation Leadership
- Drive adoption and integration of AI technologies within PMA solutions.
- Support development and deployment of AI-powered analytics capabilities, including generative AI assistants, intelligent diagnostics, and predictive analytics.
- Identify opportunities to leverage AI/ML technologies to improve customer outcomes and product differentiation.
- Collaborate with AI, Data Science, and Engineering teams to accelerate innovation initiatives.
Technical Leadership
- Provide technical leadership on PMA architecture, manufacturing analytics workflows, and ICT manufacturing solutions.
- Support Product Management in defining technical feasibility, solution direction, and product strategy.
- Guide engineering teams on customer priorities and business requirements.
- Work with quality, DevOps, and development teams to ensure product reliability, scalability, and customer satisfaction.
Cross-Functional Collaboration
- Collaborate with R&D teams, Product Management, Customer Success, and Field organizations.
- Facilitate alignment between customer needs, product strategy, and engineering execution.
- Support release planning, risk management, and issue resolution activities.
Drive continuous improvement in product development processes and customer engagement practices.
Qualifications:
Required
- Bachelor's or Master's Degree in Computer Science, Software Engineering, Electrical Engineering, Manufacturing Engineering, or a related field.
- 15+ years of experience in software product development, manufacturing analytics, test engineering, or related technical domains.
- Strong understanding of ICT manufacturing, production testing, and manufacturing data analytics.
- Experience working directly with customers and managing product requirements.
- Experience leading cross-functional teams and driving product releases.
- Strong communication and stakeholder management skills.
- Ability to translate complex technical concepts into customer-focused solutions.
Preferred
- Experience with manufacturing analytics platforms, industrial AI, machine learning, or data science solutions.
- Knowledge of semiconductor, electronics manufacturing, SMT, ICT, or production test environments.
- Experience with cloud-based analytics platforms and enterprise software solutions.
- Background in AI/ML, predictive analytics, or Generative AI applications.
- Experience supporting global customers and field organizations.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***