Product Marketing Manager
FuriosaAI
Product Marketing Manager
FuriosaAI
Power-efficient AI inference accelerator chips
FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon.
Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise.
We’re looking for a Product Marketing Manager to help tell our story. You’ll take complex hardware and software innovations and turn them into clear, engaging, and shareable content for developers, researchers, enterprises, and the broader AI community.
This is a hands-on role where your work shapes Furiosa’s technical voice globally. You’ll collaborate closely with engineers, researchers, product managers, and marketing to make sure our blog content reflects both the depth of our technology and the excitement of our mission.
Write technical blog posts, case studies, tutorials, and thought leadership content that clearly explains complex AI hardware and software concepts
Collaborate with engineering and research teams to translate technical breakthroughs into stories that resonate with technical audiences
Edit and refine content for clarity, accuracy, and engagement while maintaining a consistent Furiosa voice
Work with team leads to plan content calendars and drive blog strategy to maximize reach and impact
Translate technical insights into visual or interactive content, such as diagrams, infographics, or example workflows
Keep up-to-date with AI, hardware, and deep learning trends
Occasionally contribute to social channels, newsletters, or technical presentations to amplify blog content
10+ years of experience writing for technical audiences in AI hardware or software
Strong ability to understand, synthesize and communicate complex technical concepts clearly and accurately
Portfolio of published technical writing, ideally including blogs, tutorials, or research summaries
Collaborative mindset - comfortable working with engineers, product, and marketing teams
Fluency in English; Korean a plus for collaboration and localized content
Passionate about AI, hardware, and developer communities
The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up.
With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion.
At Furiosa, you will:
Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI.
Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks.
Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS.
Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC.
Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition.
FuriosaAI develops AI accelerators for data centers. Its flagship RNGD chip is a power-efficient accelerator designed to boost performance per watt for running large language models and other demanding AI workloads. The hardware is configurable with multiple processing elements to fit different workloads, and it is paired with advanced compiler technology and profiling tools to identify bottlenecks and optimize efficiency. This combination of flexible hardware and software optimization differentiates FuriosaAI from competitors, focusing on maximizing performance while keeping energy use low. The company targets data centers and enterprises that need high-performance, energy-efficient AI solutions, and aims to make AI computing more sustainable and scalable by selling its chips and related software tools and pursuing long-term contracts with large-scale customers.
Explore more opportunities at FuriosaAI