Software Engineer, Enterprise AI Platform
Embedding VC5 hours ago
Responsibilities
- Build enterprise primitives including organizations, workspaces, roles and permissions, SSO/SAML, and audit logging.
- Implement usage-based billing, invoicing, and payment flows for self-serve and enterprise procurement.
- Contribute to platform security, data isolation, reliability, and compliance-certification groundwork.
- Build and maintain backend services and APIs supporting multi-tenant, team-based usage patterns.
- Build polished React/Next.js frontend experiences for administration, billing, and workspace management.
- Work with founders, sales, and customers to translate requirements into shipped features.
- Take increasing ownership as the enterprise platform and team grow.
Requirements
- At least 2 years of full-stack engineering experience shipping production software.
- Strong system design and data-modeling fundamentals, including APIs, permission models, and data isolation.
- Experience across the stack with React/Next.js, Node.js/TypeScript or Python, and relational databases.
- Use AI-assisted coding tools such as Claude Code, Codex, or Cursor as a core part of the development workflow.
- Demonstrated product sense and ability to communicate technical decisions and trade-offs clearly.
- Preferred experience with Stripe, subscriptions, usage-based billing, invoicing, SSO/SAML, RBAC, audit logging, SOC 2, GDPR, GCP, AWS, observability, reliability, startups, or 0-to-1 projects.
Benefits
- Meaningful equity ownership.
- High autonomy and a high-growth environment.
- Bay Area preferred with hybrid work available.
- Visa sponsorship available.
Tech Stack
Categories
About Embedding VC
Embedding VC is an early-stage venture fund that backs generative AI startups, led by current and former builders and operators. The partnership invests capital and hands-on expertise to help AI founders scale, with a focus on progress toward AGI. Founded in 2023 and headquartered in Menlo Park, California, it operates as a private partnership concentrating on AI-native applications and infrastructure.