Industry Marketing Manager — AI Infrastructure
Listed on 2026-08-30
-
Marketing / Advertising / PR
Marketing Communications, Digital Marketing, Marketing Strategy
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 moreabout 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.
AI infrastructure is being redefined in real time — new compute architectures, faster interconnects, new power and thermal demands, new validation challenges. Keysight sits at the center of that shift, and this Industry Marketing Manager role is part of a progression from marketing at the AI infrastructure industry to leading the conversation inside it.
This role owns how Keysight shows up in the AI infrastructure conversation: what we say, who we say it to, and how we connect what's happening in the industry back to real opportunities for our customers, partners, and business. You'll embody the understanding of what customers need in the areas of AI data centers, accelerated computing, high‑speed interconnects, networking, and power — and work with technical experts inside Keysight to turn that understanding into content, campaigns, and relationships that make Keysight easier to work with and harder to ignore.
This isn't a "just write about trends" role. It's a "help shape the industry and how Keysight shows up in it" role.
What You'll Do- Read the industry, then act on it. Track what's shifting in AI compute, interconnect, networking, power, and data center infrastructure. Then translate what you find into concrete recommendations for messaging, campaigns, and where Keysight should be investing attention.
- Build Keysight's voice in the industry. Develop the core narrative, experiences, and assets conveying our AI infrastructure work — the kind that holds up with engineers and executives alike.
- Make Keysight easier to do business with. Create content and programs (white papers, articles, webinars, customer stories, videos, executive talks) that genuinely help customers and partners solve problems, not just content that promote us.
- Show up where the industry gathers. Represent Keysight at key industry events, and build relationships with analysts, standards groups, and industry influencers that make us part of the conversation, not just an attendee.
- Work across teams. Partner with product marketing, portfolio, sales, field marketing, communications, creative, and regional teams to get campaigns into the world — and partner with subject‑matter experts, customers, and partners to keep the content credible and grounded.
- Know if it's working. Define what success looks like for your campaigns and content, track it, and adjust.
- A technical foundation — a degree in electrical engineering, computer engineering, computer science, or a related field, or equivalent hands‑on experience.
- 5+ years in industry marketing, product marketing, technical marketing, or similar B2B technology marketing work.
- Existing knowledge of AI infrastructure, data centers, accelerated computing, high‑speed interconnects, or power systems.
- A real ability to take something technically complex and explain it clearly — in writing, in a deck, out loud.
- Comfort learning fast in a technical space; you don't need to already be a networking or semiconductor expert, but you should be excited to become conversant quickly.
- Experience building marketing programs end-to-end: messaging, content, campaigns, and the teams needed to run them.
- Background in electronic test and measurement, or AI data center validation.
- Existing relationships within the AI infrastructure ecosystem (analysts, standards bodies, industry groups).
The level of role will be based on applicable experience, education and…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).