--- title: 'Business Operations Manager at SpAItial' canonical: 'https://feeny.ai/job/business-operations-manager-spaitial-london-fwsemcnhjvws' type: 'job' last_seen: '2026-09-13' --- # Business Operations Manager at SpAItial - **Company:** SpAItial - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-20 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.ashbyhq.com/spaitial/93d66552-c9f1-47fb-a7e8-9f0343bccb4e ## 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, and redefining how industries from robotics and AR/VR to gaming and cinema create and interact with 3D environments. You will own the recurring operations of the business, such as the monthly finance cycle, payroll, onboarding, vendors, filings, reporting, etc. You will work directly with our COO to facilitate smooth business ops and form the backbone of our company. We are looking for someone diligent with attention to detail. Someone who keeps lists, who schedules the recurring thing the first time they see it, who notices that a deadline collides with a bank holiday before anyone else does. If you find satisfaction in a well-run cadence and a clean inbox, this role will suit you. It is hands-on, high-trust, and it will give you unusual visibility into how a frontier AI company gets built. ## Responsibilities - Finance cycle with our accountants (reconciliations, management accounts, expenses, invoicing) and keep cash, burn, runway, and budget current and trustworthy. - People operations. Own payroll, onboarding, contracts, benefits, and employee documentation, and make sure a new joiner's first two weeks are excellent. - Advisors and compliance. Coordinate our payroll providers, pension, healthcare, banks, insurers, and legal counsel and keep the company in good standing across filings, VAT, statutory obligations, and insurance. - Vendors and spend. Own vendor relationships, contracts, and renewals, including significant compute and infrastructure commitments. - Workplace. Own our London office as a place people want to be, including management of space, equipment, suppliers, and support team events that make every day in the office worth it. - Process. Turn founder-led, manual workflows into documented processes that run without anyone remembering to run them. - Reporting. Prepare inputs for board materials, investor updates, and reporting packs, and work with our German colleagues and suppliers to keep things aligned ## Key qualifications - 4+ years in operations, business operations, finance operations, or a similar role, including time in a startup or fast-moving technology company. - At least one role held long enough to live with the systems you built and fix them when they broke. - Exceptional diligence. You keep lists, you trust your system more than your memory, and you close things out, including the tedious ones. - Numerate and comfortable in spreadsheets, with the judgment to know when a figure looks wrong. - Genuinely AI-native. You already use these tools daily and reach for them first when work repeats. ## Nice to have - Experience as the ops person at a company between 15 and 60 people. - Exposure to venture-backed company operations: fundraising processes, board reporting, cap table administration. - Experience working across multiple entities, currencies, or employment systems, particularly UK and Germany. - Familiarity with Xero, payroll platforms, HRIS (Personio, Bob) and expense tools, Carta, Notion, or Google Workspace. - Real interest in AI, machine learning, computer vision, 3D technology, or deep tech. 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 - [Technical Artist](https://feeny.ai/job/technical-artist-spaitial-london-kdgkjp9c2nx6) — 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 - [Research Engineer - 3D World Models](https://feeny.ai/job/research-engineer-3d-world-models-spaitial-london-68tajf2mpe9t) — London, United Kingdom - [Research Engineer - Graphics](https://feeny.ai/job/research-engineer-graphics-spaitial-london-scfpn9d65rd2) — London, United Kingdom - [Research Scientist - World Models](https://feeny.ai/job/research-scientist-world-models-spaitial-london-txvdt70j5zfj) — London, United Kingdom - [Business Operations Manager](https://feeny.ai/job/business-operations-manager-lob-united-states-77xdetr6c36d) — United States