Enclave is the autonomous security team for the enterprise. Backed by 8VC, Marc Benioff, Aaron Levie, Patrick Collison, and others.
We already sit on GitHub, Cursor, and Claude Code. This role closes the next layer of lab and platform partnerships that put Enclave where AI is shipping.
Source, negotiate, and close technical product partnerships: integrations, platform embeds, and lab or platform distribution
Get partnerships announced at a high cadence (roughly 1–3 meaningful partner moments per week)
Live on the SF founder and BD circuit: events, dinners, office hours, and direct outreach
Build relationships with founders and BD teams across AI platforms, developer tools, model providers, and security companies
Work with product and engineering so integrations ship, and with marketing and sales so partner moments turn into pipeline
Create the partnerships motion. This is a founding seat, not an inherited big-company alliances playbook
Mid-level product, platform, or startup partnerships experience (about 4–9 years; roughly 6 ideal)
A track record of closing partnerships quickly and getting them announced
Comfort with technical integrations and ecosystem BD (startup and VC partnerships are in scope)
Self-directed, event-native, and strong in person in San Francisco
Based in San Francisco
If you close product partnerships that ship and get announced, and you want to own that motion from the ground floor in SF, we would like to talk.
Skills Required
- Approximately 4-9 years of product, platform, or startup partnerships experience
- Track record of closing partnerships quickly and getting them announced
- Experience with technical integrations and ecosystem business development
- Self-directed working style
- Strong in-person communication and relationship-building skills
- Based in San Francisco
What We Do
Enclave AI Inc. develops AI-powered systems designed to analyze code, identify, and explain security vulnerabilities. The company focuses on building the foundation for automated code analysis and creating end-to-end workflows that guide users from finding an issue to validating and fixing it. They architect scalable cloud infrastructure to run these analyses reliably across large repositories, aiming to improve developer adoption of security tools.
