---
title: '3D Content Creator & Social Lead at SpAItial'
canonical: 'https://feeny.ai/job/3d-content-creator-social-lead-spaitial-london-y9zs6n0dk1b4'
type: 'job'
last_seen: '2026-10-18'
---

# 3D Content Creator & Social Lead at SpAItial

- **Company:** SpAItial
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-04
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.ashbyhq.com/spaitial/eda1648a-3ee7-4070-baa0-f9be82361345

## Job description

SpAItial is pioneering Physically-grounded World Models, a new AI paradigm designed to generate and reason about the appearance and physics of real and imagined environments. We are moving beyond 2D pixels to build models that natively understand the geometry of our world, redefining how industries from robotics and AR/VR to gaming and cinema create and interact with 3D environments. We are looking for a 3D Content Creator & Social Lead to show clearly and creatively what SpAItial’s models can do. You will turn raw model outputs, product features, and research breakthroughs into 3D prototypes, clean captures, short-form videos, launch films, tutorials, and stories for a broad audience. You will own our organic social presence across X, LinkedIn, and YouTube: what we publish, how it looks and sounds, the cadence, and the audience we build. This is a hands-on creative role. You will generate ideas, make the work, publish it, engage the community, and learn from the response. You will work directly with our researchers and product engineers, getting early access to new models and turning rough outputs into polished, memorable artefacts. We care far more about what you have made and the audience you have built than where you have worked.

## Responsibilities

- Own and grow our social presence. Run SpAItial’s organic channels across X, LinkedIn, and YouTube, including the content calendar, copy, publishing cadence, and channel quality. Develop repeatable series and lightweight production systems, then use performance and community signals to improve concepts and distribution.
- Create 3D content. Find compelling ideas in our models and products, explore the outputs, choose strong viewpoints and sequences, and turn them into clean captures and stories people understand.
- Produce video and tutorials. Make weekly short-form clips, product demos, launch films, showreels, behind-the-scenes pieces, and instructional content.
- Prototype new use cases. Imagine what 3D foundation models can enable, then turn those ideas into quick prototypes with agents and other emerging tools. Explore new creative workflows, products, and ways to interact with generated worlds; coding is welcome but not required.
- Manage and grow the community. Respond to comments and messages, moderate conversations, highlight community work, build creator relationships, surface product feedback, and help run creator programs, workshops, and jams.

## Key qualifications

- 3+ years of professional experience in 3D content creation, creative technology, video production, social content, or a similar role.
- An impressive reel showing clean, polished 3D videos, captures, and prototypes that you made yourself.
- A track record of growing an audience or earning meaningful engagement through your own work or channels you have managed.
- Strong visual judgement for 3D content. You can choose what to show, frame it clearly, and turn model output into content that is easy to understand.
- Confident video production skills, including screen and in-world capture, editing, sound, captions, and delivery for different social formats.
- High ownership and comfort with ambiguity. You can create the brief, make the work, publish it, and improve the process.

## Nice to have

- Hands-on experience with 3D scanning or photogrammetry; familiarity with Gaussian splats, neural rendering, generative 3D, or world models.
- Experience with Blender, Unreal, Unity, PlayCanvas, or similar 3D tools. Three.js, WebGL, React Three Fiber, scripting, or other interactive coding is a plus, not a requirement.
- Experience creating for AR, XR, Vision Pro, Quest, WebXR, or mobile spatial experiences.
- An audience in 3D, VFX, games, film, design, AI, or spatial computing.
- Experience working directly with research or engineering teams and turning unfinished technology into a clear public story.
- Experience managing an online community, building creator relationships, or running community programs, workshops, hackathons, or live events.
- Strong visual design across typography, layout, colour, and motion.

At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.

## About SpAItial

## Company Overview
- **One-liner**: SpAItial builds physically-grounded world models — AI that generates and reasons about the appearance and physics of real and imagined 3D environments.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: London, United Kingdom (also has offices in Germany, United States, Luxembourg)
- **Founded**: 2024 (LinkedIn) / 2025-01-01 (company schema) — likely incorporated in late 2024, publicly launched May 2025
- **Founders**: Matthias Niessner (CEO), Luke Rogers (COO), Ricardo Martin‑Brualla, David Novotný

## Core Business
- **Primary industry/industries**: Spatial AI, 3D generative AI, foundation models, computer graphics
- **Target customers**: Developers, game studios, film/VFX, VR/AR platforms, robotics companies, industrial simulation (B2B); also provides a consumer app for world generation (B2C)
- **Mission or purpose**: “Bridging the virtual and physical – building physics‑consistent, spatio‑temporally grounded AI that understands the 3D world like humans do.”

## Products & Services
- **[Echo (Model Family)](https://spaitial.ai/)**: A series of Spatial Foundation Models (Echo‑1, Echo‑2, Echo HQ) that generate persistent 3D Gaussian Splat worlds from a single image, text prompt, or 360° panorama. Outputs are real‑time explorable and physically plausible.
- **[SpAItial API](https://spaitial.ai/)**: Programmatic access to Echo for agents, tools, simulations, and creative pipelines. Supports async generation, webhooks, and multiple output formats (SPZ, SOG, PLY, collision meshes).
- **[SpAItial App](https://spaitial.ai/)**: A web and desktop application for creating, editing, and sharing worlds generated by Echo. Includes image‑to‑world, text‑to‑world, sculpting, painting, and export tools.
- **Startup Program**: Credits, priority API access, early model access, and direct feedback loops for startups building with spatial AI.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: **Total Funding** — USD 13,000,000 (Seed round, closed June 27, 2025)
- **Notable Investors/Partners**:
  - Lead: Earlybird Venture Capital
  - Participants: Speedinvest
  - Notable angels: Robin Rombach (Black Forest Labs), Victor Riparbelli & Steffen Tjerrild (Synthesia), Christian Stiebner, Edward Grefenstette, Jon Barron, Rahul Garg, Sergej Epp (Sysdig/Palo Alto), Elias Schneider (Codesphere), Paul Whitehead (Zoopla), and others.
- **Growth Signals**:
  - Headcount: 20 employees (+2000% YoY from 1 employee the year prior)
  - Active job postings: 11 (monthly growth +22.2%, quarterly +175%)
  - Strong hiring across research, engineering, and ML infrastructure
  - Launched Echo‑2 in May 2026, Echo HQ in June 2026
  - Opened early access and startup program

## Competitive Advantages
- **Spatial Foundation Models (SFMs)**: Unlike LLMs, image, or video models, SFMs operate natively in 3D physical space, capturing geometry, materiality, and physics — enabling true spatial reasoning and physically consistent generation.
- **World‑class founding team**: Deep expertise from academia (TU Munich), big tech (Google, Meta), and scaled startups (Synthesia, Cazoo). Includes pioneers in generative 3D (GRAF, VoxGRAF, X‑Fields).
- **Real‑time, persistent 3D worlds**: Outputs are not just images or videos but fully explorable Gaussian Splat environments that can be edited, exported, and shared.
- **Strong investor backing**: $13M seed from top European VCs and influential angel investors validates the technology and vision.

## Strategic Focus
- **Model scaling**: Improving core model capabilities (Echo‑2, Echo HQ) for richer geometry, sharper detail, and stability.
- **Developer ecosystem**: Building out the API, documentation, and startup program to attract developers and partners.
- **Industry partnerships**: Piloting technology across gaming, film, CAD, VR/AR, and robotics — collaborating with leading organizations.
- **Talent acquisition**: Growing the team aggressively across research, engineering, and infrastructure.

## Why Work Here
- **Cutting‑edge research**: Work on frontier AI problems at the intersection of computer vision, graphics, and 3D generative models. Publishable research encouraged.
- **Strong team**: Colleagues from Meta, Google, TU Munich, Synthesia, and top labs. Low ego, high output.
- **Early stage impact**: Join at 20 people — your work directly shapes the product, culture, and direction of the company.
- **Global, hybrid‑friendly**: Headquarters in London with presence in Munich (Germany), New York (US), and Luxembourg. Mix of in‑person and remote collaboration.
- **Open roles** (as of mid‑2026): Research Scientist (3D Diffusion, World Models), Research Engineer (Graphics, World Models), ML Infrastructure Engineer — 11 active postings.
- **Perks**: Not publicly detailed, but seed‑stage startup typically offers equity, flexible time off, and direct access to founders.
- **Culture**: Described as “research meets real‑world application” — a blend of academic rigor and product‑focused execution.

## Sources
1. [spaitial.ai](https://spaitial.ai/) – Company homepage, product overview, API docs, blog
2. [spaitial.ai/about](https://spaitial.ai/about) – About page, mission, team, funding announcement
3. [spaitial.ai/careers](https://spaitial.ai/careers) – Careers page, open roles
4. [spaitial.ai/blog/announcing-spaitial](https://spaitial.ai/blog/announcing-spaitial) – Launch blog post with detailed team, funding, and vision
5. [LinkedIn – SpAItial AI](https://uk.linkedin.com/company/spaitial-ai) – Employee count, funding, headcount growth, open roles, talent sources

## Other roles at SpAItial

- [ML Inference Engineer](https://feeny.ai/job/ml-inference-engineer-spaitial-london-b3wak2tt1hr4) — London, United Kingdom
- [Research Engineer - 3D Reconstruction](https://feeny.ai/job/research-engineer-3d-reconstruction-spaitial-london-phyexa9qxn65) — London, United Kingdom
- [Research Scientist - 3D Reconstruction & Novel View Synthesis](https://feeny.ai/job/research-scientist-3d-reconstruction-novel-view-synthesis-spaitial-london-y27h8v9y25vn) — London, United Kingdom
- [Design Engineer](https://feeny.ai/job/design-engineer-spaitial-london-j54w4vx8b08f) — London, United Kingdom
- [Business Operations Manager](https://feeny.ai/job/business-operations-manager-spaitial-london-fwsemcnhjvws) — London, United Kingdom
- [Research Scientist - Robot Learning (VLA / WAM)](https://feeny.ai/job/research-scientist-robot-learning-vla-wam-spaitial-london-97ghdtvn8cmv) — London, United Kingdom
- [Research Scientist - 3D Reconstruction (SfM & SLAM)](https://feeny.ai/job/research-scientist-3d-reconstruction-sfm-slam-spaitial-london-dgx907pgrv08) — London, United Kingdom
- [Machine Learning Systems & Infrastructure Engineer](https://feeny.ai/job/machine-learning-systems-infrastructure-engineer-spaitial-london-yg2ny2hqnfkr) — London, United Kingdom
- [Machine Learning & Cloud Infra Engineer](https://feeny.ai/job/machine-learning-cloud-infra-engineer-spaitial-london-p5w3sxeysvq7) — London, United Kingdom
- [Research Scientist - 3D Diffusion](https://feeny.ai/job/research-scientist-3d-diffusion-spaitial-london-f21y5vjxxmzm) — London, United Kingdom