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Salary
$500k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 5+ years exp
Visa
Sponsorship offered in the posting · H-1B filings in 12 months: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Sep 9, 2026.

Overview
Company
Impact
Profile match
Embedding VC is an early-stage venture capital fund that invests in startups building on generative artificial intelligence, from model infrastructure to applications, robotics and developer tools. Its partners and limited partners are mainly current and former engineers and operators from technology companies, and the fund supports portfolio companies with hiring through a shared jobs board. The firm is based in the San Francisco Bay Area, United States.

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.

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