Technical Recruiter
Build and scale technical recruiting processes at a fast-growing AI startup. Partner with leadership to source, interview, and close top engineering talent while shaping hiring strategy and talent brand.
Secure cloud sandboxes for AI agents
E2B provides open-source cloud sandboxes and runtimes for executing AI-generated code securely. It enables AI agents to run tools, code, and workflows in isolated Firecracker microVMs for enterprises and developers. Used by 88% of Fortune 100 for production agentic systems.
Build and scale technical recruiting processes at a fast-growing AI startup. Partner with leadership to source, interview, and close top engineering talent while shaping hiring strategy and talent brand.
Own Terraform, Kubernetes, and cloud infrastructure for a fast-growing AI infrastructure startup. Manage multi-cloud deployments, build reusable infrastructure components, and support enterprise BYOC offerings.
Owns all non-engineering, non-GTM, non-design operations including people ops, legal admin, finance, office logistics, and vendor management at a fast-scaling AI startup. Requires 6+ years ops experience with startup scaling track record and strong numbers comfort; hands-on COO-track role in San Francisco.
Leads finance function at high-growth AI SaaS startup, owning accounting, FP&A modeling, usage-based revenue accuracy, investor relations, and enterprise deal structuring. Requires 8+ years experience including 3+ as top finance leader at venture-backed B2B SaaS with CPA.
Triage and reproduce customer issues for AI sandbox platform, analyze logs, maintain documentation, and escalate to engineering. Requires 2+ years technical support experience, Linux/Python/TypeScript proficiency, and strong async communication.
Founding Designer shapes company design culture, product UI for dashboard/CLI, brand direction, landing pages, and marketing visuals. Requires 5+ years experience including DevTools, startup mindset, and AI/DevTools comfort using tools like Cursor and Devin.
Deploys and integrates secure AI sandbox infrastructure into enterprise customer environments, handling BYOC/on-prem setups, custom templates, and production debugging. Requires 5+ years in backend/infra/DevOps with Python/TS, cloud expertise, and customer-facing skills.
Builds backend infrastructure and core platform for AI agent cloud, including VM hypervisors, LLM sandboxes, networking, and orchestration. Requires 5+ years in distributed systems and Linux administration for onsite role in San Francisco.
Builds inspiring examples, demos, and open-source projects using E2B to engage developers and showcase AI agent capabilities. Requires 5+ years engineering experience in Python/TypeScript, AI tools familiarity, and strong communication skills.