---
title: 'Senior Software Engineer, Enterprise AI Platform at Embedding VC'
canonical: 'https://feeny.ai/job/senior-software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-w4p49q7xp4qm'
type: 'job'
last_seen: '2026-09-09'
---

# Senior 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/cbd48067-4b1d-4630-b71d-6c48c7aeb24e

## 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 the first engineer on it.
- Small team, massive surface area — senior engineers own whole systems, 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 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 a senior engineer 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 in the enterprise function. You'll move between customer-facing product (admin consoles, billing UI, workspace settings) and the backend and infrastructure underneath it (access control, usage metering, payment integrations, hardening our systems for enterprise-grade reliability and security). You'll work directly with the founders to figure out, in real time, what "enterprise-ready" needs to mean for an AI-native creative platform — and then build it.

🛠 What You'll Do

- Design and build core enterprise primitives: organizations/workspaces, roles and permissions (RBAC), SSO/SAML, and audit logging.
- Build usage-based billing, invoicing, and payment infrastructure that supports both self-serve and enterprise procurement (e.g. Stripe).
- Harden platform security and reliability to the bar enterprise customers expect — access control, data isolation, and groundwork for compliance certifications (e.g. SOC 2).
- Design scalable backend architectures and APIs that support multi-tenant, team-based usage patterns.
- Build clean, polished frontend experiences (React/Next.js) for admin, billing, and workspace management.
- Partner directly with founders, sales, and customers to turn deal-blocking requirements into shipped platform features.
- Make pragmatic build-vs-buy calls on infrastructure (billing providers, auth providers, compliance tooling) and clearly communicate the trade-offs.
- Define OpenArt's enterprise engineering practices as the function's first hire, and help shape the team that grows around it.

⚙ What We're Looking For

Core Requirements

- 5+ years of full-stack engineering experience shipping and owning production systems at scale.
- Strong system design and data modeling skills — comfortable reasoning about APIs, permission models, multi-tenancy, and data isolation.
- Hands-on experience with infrastructure and platform work: cloud architecture, observability, scaling, or reliability engineering.
- 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 for B2B — you know what makes an admin console feel trustworthy to an IT buyer and a workspace feel effortless for a team.
- Strong communication skills — you can sit in a customer security review or a sales call, then translate what you heard into clear technical trade-offs for non-technical teammates.

## Nice to Have

- Experience with payments or billing systems (e.g. Stripe): subscriptions, usage-based billing, invoicing, disputes.
- Experience with security or compliance work: SSO/SAML, RBAC, audit logging, SOC 2 / GDPR groundwork.
- Experience selling to or building for enterprise customers, including procurement and security-review cycles.
- Startup experience, or ownership of a large product surface from 0 to 1.

💰 Compensation

- $500k+ 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

- Workspaces, roles, and permissions are live in production and used by paying teams.
- Enterprise billing — usage metering, invoicing, procurement-friendly payments — is shipped and stable.
- At least one enterprise deal has closed on the strength of features you built (e.g. SSO, audit logs).
- SOC 2 groundwork is underway, and you can walk a customer's security team through our posture with confidence.
- You're setting the direction for enterprise engineering — pushing ideas, not waiting for specs.

If you want to build the platform that turns a consumer AI product into an enterprise business — and own it from day one — 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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- [Senior/Staff Software Engineer, Agent](https://feeny.ai/job/senior-staff-software-engineer-agent-embedding-vc-san-francisco-yqmv1e6jkzym) — San Francisco, CA
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