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're looking for someone who wants to help invent what enterprise marketing looks like in the age of AI.
What they're looking for
- 4+ years of hands-on B2B marketing experience , ideally in a technical, enterprise, or account-based environment. You have personally built and run campaigns—not just managed agencies, teams, or strategy
- A builder's instinct. When the existing playbook doesn't fit the problem, your instinct is to create a better one. You challenge how things are done today, but you turn those ideas into systems, campaigns, workflows, and measurable results
- A bias toward action and experimentation. You're comfortable starting with an imperfect answer, testing it quickly, learning from the results, and making it better. Ambiguity energizes you more than it paralyzes you
- Genuine excitement about rebuilding how marketing works around AI and agentic workflows —not simply using AI to make the existing marketing playbook faster
- Hands-on fluency with AI tools and agents (e.g., Claude, ChatGPT) as daily working infrastructure. You experiment with new tools, build workflows yourself, and continually look for ways AI can change what is possible—not just improve productivity
- Operational depth. You're comfortable inside Salesforce CRM or comparable platforms and can work directly with segmentation, workflows, reporting, campaign operations, and the underlying data. Strategy and execution are not separate jobs to you
More about this role
Vinci is building the intelligence layer for hardware engineering. For decades, physics has been one of the biggest constraints on how physical products get designed — not because engineers don't trust it, but because it's been too slow and too expensive to use continuously. Teams make hundreds of design decisions before they ever see high-fidelity physics; by the time the simulation arrives, the design is largely locked.
We change that. Our Foundation Model for Physics makes deterministic physical reasoning available while a design is still evolving, so engineers can make better decisions before the cost of change compounds. Unlike general-purpose AI, our model learns physical behavior from first principles — not from human-generated text or images.
Today, Vinci is deployed on production engineering programs at leading semiconductor companies — the hardest physics problems in modern electronics. Semiconductors are not the limit. They're the proof: our ambition includes everything downstream of the chip, from robots and vehicles to data centers and aircraft.
We're growing fast, and hiring across the company. Joining now means arriving early enough to help shape how Vinci works,...
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