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.
