--- title: 'Member of Technical Staff - Product Engineer at Embedding VC' canonical: 'https://feeny.ai/job/member-of-technical-staff-product-engineer-embedding-vc-san-francisco-aq32nw0244mf' type: 'job' last_seen: '2026-09-09' --- # Member of Technical Staff - Product Engineer at Embedding VC - **Company:** Embedding VC - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-27 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/embedding-vc/04efadc4-6802-4f31-be18-327c95339042 ## Job description Introducing Moonlake, AI for creating world simulations. ## ABOUT MOONLAKE Moonlake is building the frontier of interactive world models: systems that generate, simulate, and reason over 3D environments for embodied AI, robotics and gaming. We develop the simulation infrastructure to build worlds (e.g., assets, scenes, digital twins) at scale. Our team sits at the intersection of: - Embodied AI - Robotics simulation - Interactive 3D worlds - World models - Real-time generation - AI infrastructure Moonlake is building the next generation of AI infrastructure for interactive digital worlds. Our mission is to enable anyone to create, simulate, and interact with rich environments using natural language and multimodal inputs, turning simple ideas into worlds with structure, logic, and agents that can perceive and act. Our team has raised $28M in seed funding from NVIDIA Ventures, Threshold Ventures, AIX ventures and notable angels including Naval Ravikant and Jeff Dean to build the foundational layer for the future of AI - powering everything from creative tools and games to robotics training, simulations, and digital twins. Our goal is to make building and experimenting with these environments as accessible and scalable as publishing video on the internet. We are looking for exceptional research engineers and applied researchers to help push the frontier of interactive AI. ## THE ROLE We're looking for a Product Engineer who combines strong full-stack engineering with sharp product judgment and a bias for shipping. We want someone who can: - Own a product surface end-to-end — not a ticket queue - Turn a rough idea into a shipped, measured feature - Build full-stack, front to back (React / Next.js / TypeScript + Python) - Make product decisions without waiting for a PM - Ship fast and iterate on real usage ## WHAT YOU'LL DO - Scope fuzzy product goals into testable, instrumented features, and measure their impact - Break down ambiguous work, sequence it, and drive it to production - Collaborate closely with research, engineering, and founders building world models and embodied AI systems - Use AI-native engineering tools (Claude Code, Codex, or similar) to ship faster ## WHAT WE'RE LOOKING FOR - A track record of shipping real product in ambiguous, fast-moving environments — you turn ambiguity into outcomes - ~3+ years building and shipping production web products (we index on track record over years) - Strong full-stack engineer, excellent React/Next.js/TypeScript; with solid backend engineering judgment: you design sound database schemas and system architecture and understand the tradeoffs - Strong technical communication — you turn ambiguity into clear plans, explain tradeoffs to non-engineers, communicate with high signal, and drive alignment proactively - Sound product and UX judgment — you decide what's worth building ## TECHNICAL EXPERIENCE WE VALUE - React / Next.js / TypeScript, Tailwind / shadcn, and modern web application architecture - Building product features and UI/UX for agentic systems — where AI takes actions, reasons over state, and drives multi-step, long-horizon workflows with streaming UIs, generative UI, etc. - Building scalable backend services and APIs - AI-native product workflows BONUS POINTS (any one is a plus, none required) - Extensive experience building and shipping agent / LLM-powered product features - Founding / 0→1 engineer, or entrepreneurial experience - Physics AI / simulation and robotics stack — Isaac Sim, MuJoCo - 3D asset workflows (Blender) or other world-building / assets-building tools ## WHY THIS ROLE MATTERS Moonlake is building tools that sit between: - AI systems and human creativity - Simulation and interaction - Research infrastructure and product experience The interface layer is critical. These products must make highly complex systems feel intuitive, responsive, and powerful. You’ll help define how people interact with the next generation of world-building and embodied AI tools. We are committed to being an on-site, in-person team currently based in San Francisco. ## About Embedding VC ## Company Overview - **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries. - **Entity Type**: Private (Venture Capital Firm) - **Headquarters**: Menlo Park, California, United States - **Founded**: 2023 - **Founders**: Roger Luo (Founder & Managing Partner) ## Core Business - Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence - Target customers: Early-stage Generative AI startups (Seed and Series A) - Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations. ## Products & Services - **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social. - **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators. ## Market Standing - **Valuation/Market Cap**: Not applicable (Venture Capital firm) - **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months. - **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures. - **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026. ## Competitive Advantages - **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies. - **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem. - **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends. ## Strategic Focus - **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies. - **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis. - **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social. ## Why Work Here - **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership. - **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position. - **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself. ## Sources 1. [embedding.vc](https://www.embedding.vc/) 2. [linkedin.com](https://www.linkedin.com/company/embeddingvc) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc) 4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0) 5. [builtin.com](https://builtin.com/company/embedding-vc/teams) ## Other roles at Embedding VC - [IT & Information Security Manager](https://feeny.ai/job/it-information-security-manager-embedding-vc-san-francisco-sk44dfr9pp9h) — San Francisco, CA - [Software Engineer, Agent](https://feeny.ai/job/software-engineer-agent-embedding-vc-san-francisco-b6gjwsa8j7qj) — San Francisco, CA - [Senior/Staff Software Engineer, Agent](https://feeny.ai/job/senior-staff-software-engineer-agent-embedding-vc-san-francisco-yqmv1e6jkzym) — San Francisco, CA - [Software Engineer, Enterprise AI Platform](https://feeny.ai/job/software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-qhqpjezbrxvg) — San Francisco, CA - [Senior Software Engineer, Enterprise AI Platform](https://feeny.ai/job/senior-software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-w4p49q7xp4qm) — San Francisco, CA - [Senior Product UI/UX Designer](https://feeny.ai/job/senior-product-ui-ux-designer-embedding-vc-san-francisco-6njqf9mjhek8) — San Francisco, CA - [Lead AI Native Engineer](https://feeny.ai/job/lead-ai-native-engineer-embedding-vc-milpitas-e8kp7wddrx7f) — Milpitas, CA - [Senior Product Manager, Enterprise](https://feeny.ai/job/senior-product-manager-enterprise-embedding-vc-san-francisco-w2jf6kkspg4w) — San Francisco, CA - [GTM Specialist](https://feeny.ai/job/gtm-specialist-embedding-vc-san-francisco-awtfmvetn3gd) — San Francisco, CA - [GTM Lead](https://feeny.ai/job/gtm-lead-embedding-vc-san-francisco-5qgfnawtcd4k) — San Francisco, CA