Startups · AI

Marketing Communications Manager

Vinci · Palo Alto HQ · Remote

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About Vinci

Run full-resolution simulations in minutes. Vinci’s foundation model for physics unites AI acceleration with verified solvers for as-built accuracy. Backed by Khosla.

About the role

We want to build a communications machine that punches far above its weight—and we're looking for someone with the ambition, creativity, and drive to help build it. Not a traditional PR and social media operation. A fast-moving, AI-powered engine that turns breakthrough technology, customer successes, executive insights, and industry developments into a continuous stream of stories and conversations that shape the market. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Experience running social media for a B2B technology company, with hands-on ownership of strategy, content and execution across LinkedIn and X at minimum. You have built and run programs yourself, not only managed agencies
  • A portfolio that proves you can make complex technical ideas clear and compelling without stripping out what makes them important. Writing is the core of this job
  • Experience ghostwriting for executives and technical leaders, with a track record of capturing a real person's voice rather than a corporate one
  • Comfort with technical audiences. You have marketed to engineers, developers, scientists or similarly skeptical buyers, and you understand that substance earns trust and claims lose it
  • Fluency with social analytics and the judgment to tell the difference between activity and progress
  • Hands-on daily use of AI tools (e.g., Claude, ChatGPT) for research, drafting, production and workflow design, and a drive to find where they change what is possible, not only what is faster
More about this role

Every so often, a company emerges with the technology, momentum, and ambition to change an entire industry. For the right communications leader, joining at that moment can be career-defining. Vinci is at that moment.

We're tackling one of the biggest challenges in technology: the growing gap between the complexity of the hardware the world needs and our ability to understand how it will actually work before it's built. As AI accelerates demand for more powerful chips and increasingly sophisticated electronic systems, traditional engineering tools are struggling to keep pace. It's one of the defining challenges of the AI era—and Vinci has a breakthrough solution that's already generating coverage in the technology and business press, along with engagement with leading journalists and podcasters.

We've pioneered the Physics Intelligence Platform, bringing AI-native physics computation to hardware engineering. Instead of waiting days or weeks for answers, engineers can understand the physical consequences of their designs in seconds to minutes, explore vastly more alternatives, and discover better solutions. This isn't another incremental improvement to engineering software. It's a...

Read the full posting on Vinci's site ↗

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