R&D Engineer 4, Software

Design and deliver compelling, polished live demonstrations of AI productivity tools to R&D teams, engineering leadership, and senior executives—at internal summits, executive briefings, town halls, and cross-functional reviews.

Build and maintain a library of demo environments, scripts, and narratives tailored to different internal audience personas (R&D engineers, engineering lead s , VPs).

Create high-impact demo videos, tutorials, and interactive walkthroughs that drive internal adoption and excitement across engineering groups.

Translate complex AI/ML capabilities (LLM-powered assistants, ML-driven simulation, predictive analytics) into clear, benefit-driven stories that resonate with technical and executive audiences.

Own the internal positioning, messaging, and value proposition for Keysight’s AI productivity tools—ensuring consistency across internal communications, executive presentations, and R&D enablement materials.

Develop and execute internal launch strategies for new AI features in partnership with product management, engineering leadership, and R&D teams.

Create technical white papers, internal newsletters, knowledge base articles, solution briefs, and adoption of success stories that build momentum for AI tool usage across the organization.

Develop executive-ready materials (briefing decks, ROI narratives, adoption dashboards) that articulate the impact and value of AI productivity initiatives to senior leadership.

Embed within R&D engineering teams to deeply understand their workflows, pain points, and adoption barriers—and equip them with training, toolkits, and best practices for AI productivity features.