---
title: 'Software Engineer, Enterprise AI Platform at Embedding VC'
canonical: 'https://feeny.ai/job/software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-qhqpjezbrxvg'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer, Enterprise AI Platform at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/b49531ff-4850-4bab-8fbf-72a8ec299e60

## Job description

🎨 About OpenArt

OpenArt is an AI storytelling and visual creation platform used by millions of creators worldwide. We're building the next generation of creative tools powered by cutting-edge AI — enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination.

We believe the future of creativity is AI-native, and we're shaping that future.

🚀 Why Join OpenArt

- Brand-new function, real mandate — enterprise and team customers are one of our biggest growth levers, and most of the infrastructure behind them hasn't been built yet. You'll be in on the ground floor.
- Small team, massive surface area — engineers own real systems end to end, not slices.
- Real scale, real stakes — OpenArt serves millions of creators, and enterprise deals will close (or not) on what you ship.
- Founder-led engineering culture — both founders are technical and deeply involved in product and architecture.
- AI-native product — you'll help decide how cutting-edge models get packaged, governed, and sold to teams and enterprises.
- High ownership, low process — we value judgment, clarity, and speed over bureaucracy.

🎯 About the Role

We're hiring engineers to build the product and infrastructure that lets OpenArt serve teams and enterprises, not just individual creators. That spans the full surface: workspaces and team management, roles and permissions, usage-based billing and procurement-friendly invoicing, audit logs, and the security posture — SSO, data controls, compliance groundwork — that larger customers expect before they'll sign.

This is a full-stack role on a brand-new team. You'll move between customer-facing product (admin consoles, billing UI, workspace settings) and the backend underneath it (access control, usage metering, payment integrations). You'll work closely with the founders and the enterprise team to figure out what "enterprise-ready" means for an AI-native creative platform — and then build it.

🛠 What You'll Do

- Build core enterprise primitives: organizations/workspaces, roles and permissions (RBAC), SSO/SAML, and audit logging.
- Implement usage-based billing, invoicing, and payment flows that support both self-serve and enterprise procurement (e.g. Stripe).
- Contribute to platform security and reliability work — access control, data isolation, and groundwork for compliance certifications (e.g. SOC 2).
- Build and maintain backend services and APIs that support multi-tenant, team-based usage patterns.
- Build clean, polished frontend experiences (React/Next.js) for admin, billing, and workspace management.
- Work with founders, sales, and customers to turn real requirements into shipped features.
- Take on increasing ownership as the enterprise platform and team grow.

⚙ What We're Looking For

Core Requirements

- 2+ years of full-stack engineering experience shipping production software.
- Solid fundamentals in system design and data modeling — you can reason about APIs, permission models, and how data should be structured and isolated.
- Comfortable across the stack: React/Next.js on the front end, Node.js/TypeScript or Python on the back end, and a relational database in between.
- A strong AI-assisted coding practice — you use tools like Claude Code, Codex, or Cursor as a core part of how you build, and have real opinions about what makes them work well.
- Product sense — you care about what makes an admin console feel trustworthy and a workspace feel effortless, not just whether it works.
- Clear communication — you can explain what you built, why, and what the trade-offs were to teammates who aren't engineers.

## Nice to Have

- Exposure to payments or billing systems (e.g. Stripe): subscriptions, usage-based billing, invoicing.
- Exposure to auth, security, or compliance work: SSO/SAML, RBAC, audit logging, SOC 2 / GDPR.
- Experience with cloud infrastructure (GCP/AWS), observability, or reliability work.
- Startup experience, or having built something 0 to 1 (side projects count).

💰 Compensation

- $300k+ total compensation including base salary, bonus, equity.
- Equity — meaningful ownership in what you build.
- High autonomy, high growth environment.

🌍 Work Setup

- Bay Area preferred (hybrid available).
- Visa sponsorship available.

🎯 What Success Looks Like in 3–6 Months

- You've shipped meaningful pieces of workspaces, permissions, or billing into production, and paying teams are using them.
- You own at least one enterprise surface end to end — e.g. the admin console, audit logs, or invoicing — and are the go-to person for it.
- You've sat in a customer or sales conversation and turned what you heard into a shipped feature.
- You're proposing improvements and catching problems early, not just executing on specs.
- You've grown into more scope than the role started with.

If you want to help build the platform that turns a consumer AI product into an enterprise business — and grow fast while doing it — we'd love to talk.

## 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)

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