Startups · AI

Events 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 are not selling a faster version of something engineers already buy. We are making the case for a different engineering operational model: physics moving from late to early, from episodic to continuous, and from something rationed among specialists to intelligence available while design decisions are still being made. That shift has to become tangible. And in a market this crowded, it has to become impossible to ignore. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5–8 years of event marketing experience, including hands-on ownership of a multi-event annual calendar and meaningful event budgets
  • A track record of building events that contributed to measurable commercial outcomes, not simply attendance or impressions
  • Strong judgment about where to invest. You can evaluate opportunities, compare tradeoffs, defend a recommendation, and know when an expensive sponsorship is worth it — and when it isn't
  • Exceptional project-management ability across many simultaneous workstreams, fixed external deadlines, and dependencies you don't control
  • Enough technical fluency to work credibly with engineers, product leaders, and technical content. You don't need to be an engineer, but you need to understand what matters, ask good questions, and know when language or presentation is imprecise
  • Experience incorporating live product demonstrations into event environments, or a strong instinct for how to make complex technology tangible
More about this role

Vinci is building the future of engineering infrastructure.

We created the first AI-native computational platform built on Foundation Models for Physics , enabling engineering teams to bring deterministic physical reasoning into every stage of semiconductor and electronics design. By combining AI, physics, and high-performance computing, Vinci is making it practical to explore vastly more design alternatives, uncover insights that were previously impractical to obtain, and optimize products in minutes instead of days.

Leading semiconductor and electronics companies already use Vinci to solve some of the world's most computationally demanding engineering problems. As we continue to grow, we're building the team that will define the next generation of engineering infrastructure.

Vinci is entering an accelerating stage of growth.

We are not selling a faster version of something engineers already buy. We are making the case for a different engineering operational model: physics moving from late to early, from episodic to continuous, and from something rationed among specialists to intelligence available while design decisions are still being made.

That shift has to become tangible....

Read the full posting on Vinci's site ↗

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