---
title: 'Marketing Campaign Manager at Vinci4d'
canonical: 'https://feeny.ai/job/marketing-campaign-manager-vinci4d-palo-alto-6zhtkrebnnp9'
type: 'job'
last_seen: '2026-09-08'
---

# Marketing Campaign Manager at Vinci4d

- **Company:** Vinci4d
- **Location:** Palo Alto, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/vinci4d/684867a8-d9b1-4479-a0b6-81fa88719f30

## Job description

## MARKETING CAMPAIGN MANAGER

## ABOUT VINCI

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, not just what it ships.

## THE ROLE

We're not looking for a traditional Campaign Manager.

We're looking for someone who wants to help invent what enterprise marketing looks like in the age of AI.

Vinci is building an AI-native Customer Engagement Operating System that continuously observes customer behavior, infers intent, orchestrates personalized engagement, and learns from every interaction. Instead of managing disconnected campaigns and measuring success through a linear MQL → SQL → Opportunity funnel, we're building a system that continuously grows strategic accounts through customer intelligence, agentic workflows, and data-driven orchestration.

Fewer than 10% of B2B companies operate this way today.

You'll help define what the other 90% eventually become.

This role combines campaign strategy, AI, customer intelligence, and commercial operations. You'll work alongside Product Marketing, Sales, Application Engineering, and Product to design campaigns that don't simply generate leads—they identify buying signals, activate engineering teams, expand strategic accounts, and continuously improve through learning.

You'll also help pioneer a new approach to marketing one of the most demanding audiences in technology: engineers evaluating deep technical infrastructure. Selling to hardware engineering organizations is fundamentally different from selling traditional enterprise software. The buyers are technical. The evaluation cycles are evidence-driven. Trust is earned through technical credibility, not marketing claims.

We're looking for someone who wants to help redefine how enterprise marketing works—not someone looking to optimize the existing playbook.

## WHAT YOU BRING

- 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.
- The confidence to drive change across functions. You can challenge established assumptions, advocate for a better way of working, and bring Sales, Product Marketing, Application Engineering, and Product with you. You don't need organizational authority to create organizational change.
- 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.
- Intellectual curiosity and technical credibility. You want to understand how the product, customer, and technology actually work. You know that skeptical, evidence-driven engineering audiences are persuaded by substance, not marketing claims.
- Excellent written communication. You can turn complex technical ideas into clear, precise communication without stripping away what makes them important.
- High ownership and unusually high standards. You are comfortable in a fast-moving environment where priorities change, resources are constrained, and important work sometimes requires doing things that haven't been done before.

## About Vinci4d

## Company Overview
- **One-liner**: Vinci4D builds a physics AI foundation model that enables deterministic, solver-accurate simulation at manufacturing resolution—eliminating meshing, approximations, and customer-specific training.
- **Entity Type**: Private (Series A, 2025)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2023
- **Founders**: Dr. Hardik Kabaria (CEO) and Dr. Sarah Osentoski (CTO)

## Core Business
- **Primary industry**: Semiconductor design and simulation; AI-powered physics simulation for hardware engineering.
- **Target customers**: Enterprise (semiconductor and systems companies), B2B.
- **Mission or purpose statement**: Build a physics AI foundation model that natively understands the laws of physics, enabling engineers to innovate at speed and scale once unimaginable.

## Products & Services
- **Vinci Platform**: A physics AI foundation model that performs full-manufacturing-resolution simulations (thermal, thermo-mechanical, warpage) out-of-the-box – no meshing, no approximations, no customer data required. Validated against traditional FEA solvers with <2% deviation and up to 1000× speed improvement. Deployed securely behind customer firewalls.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding – **$36.5M** (LinkedIn) or **$46M** (conflicting reports per newsroom; includes $36M Series A + $500k seed + possible additional tranche). [getvinci.ai](https://www.getvinci.ai/newsroom/) [linkedin.com](https://www.linkedin.com/company/vinci4d-ai)
- **Notable Investors/Partners**: Khosla Ventures, Eclipse Ventures, Xora. Strategic partnerships with leading semiconductor companies (over half of top 20 semiconductor firms have benchmarked Vinci).
- **Growth Signals**: Employee headcount grew **550% YoY** to 27 people; peer-reviewed validation published at EPTC 2025; 240× to 360× speed improvements demonstrated in customer benchmarks.

## Competitive Advantages
- **Physics-native AI foundation model** that inherently respects governing laws – not a generic LLM.
- **No meshing required** – works directly with native CAD/layout files (OASIS, GDS, IPC-2581) preserving full design fidelity.
- **No customer data needed** – model generalizes out-of-the-box without retraining.
- **Deterministic, solver-accuracy** (<2% deviation from traditional FEA) at 1000× speed, making it production-grade.

## Strategic Focus
- **Current priorities**: Deepen adoption in semiconductor packaging and electronics thermal simulation; expand into adjacent hardware domains (e.g., automotive, aerospace) where full-resolution physics simulation is critical.
- Continue validating through peer-reviewed research and scaling the platform to handle extreme degrees of freedom (100+ million elements).

## Why Work Here
- **Culture**: Founded by AI and simulation experts from Stanford/UC Riverside; team includes world-class simulation engineers and AI researchers (former Carbon, NVIDIA, Zoox engineers).
- **Work environment**: Startup pace with strong research and engineering focus – technical roles dominate (57% of headcount).
- **Funding & stability**: Well-backed by top-tier VCs; runway from $36M+ Series A.
- **Flexibility**: Offices in Palo Alto and Redwood City, CA; not explicitly stated as remote-first, but typical of early-stage deep-tech startups.
- **Engineering culture**: Focus on building a foundation model for physics using Python, PyTorch, CUDA, Kubernetes, Docker, and simulation tools like Ansys Icepak/FloTHERM.

## Sources
1. [getvinci.ai (Home)](https://www.getvinci.ai/)
2. [getvinci.ai (Team)](https://www.getvinci.ai/team/)
3. [getvinci.ai (Newsroom)](https://www.getvinci.ai/newsroom/)
4. [linkedin.com (Company Page)](https://www.linkedin.com/company/vinci4d-ai)
5. [jobs.ashbyhq.com (Careers)](https://jobs.ashbyhq.com/vinci4d)

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