Juicebox is on a mission to help teams win the talent war.
In the age of AI, human ingenuity is the ultimate scarce resource. Recruiting is a zero-sum game — you either compete or lose.
Teams at companies like Ramp and Notion, along with leading AI labs, use Juicebox to power their hiring. We support 5,000+ customers ranging from early-stage startups to Fortune 500 companies.
We're on a path to $100M ARR with 20%+ monthly growth, making Juicebox one of the fastest-growing AI SaaS companies in the world.
We've raised $116M+ from top-tier investors including Sequoia, DST Global, NFDG, and Y Combinator.
We’re looking for a Security Engineer to build the security foundation for Juicebox from first principles.
You’ll work directly on the systems that secure our infrastructure, data, and products; designing secure-by-default primitives that scale with the company without slowing engineering down.
You’ll operate across identity, cloud infrastructure, application security, observability, and internal platform systems.
The ideal person has strong security instincts, a bias toward automation, and engineering experience.
You're passionate about LLMs and securing agentic systems
You have strong opinions about building systems that are both secure and developer-friendly.
You have battle-tested infrastructure or platform engineering instincts.
You think like an attacker and surface security vulnerabilities before they happen
You have experience securing systems in fast-paced environments
You’re comfortable working without heavy PM overhead; you will take ownership in solving the underlying business goal
Develop sandboxing and secure execution patterns for AI-powered workflows and agents.
Implement secure-by-default infrastructure guardrails across AWS using Terraform and GitOps workflows.
Build automated systems that reduce operational risk.
Create paved-road security tooling that helps engineers ship securely by default.
Build a unified identity and access system across internal tooling, infrastructure, and production systems.
Design secrets management and credential rotation systems with strong auditing and least-privilege guarantees.
Improve application security around authentication, authorization, API protection, and multi-tenant isolation.
Build security observability pipelines for logging, detection, and incident response.
Strong background in application security, infrastructure, DevOps, or platform engineering.
Experience designing and shipping production systems end-to-end.
Hands-on experience with AWS infrastructure and security primitives (IAM, networking, RDS, etc.).
Experience with infrastructure-as-code tools like Terraform.
Familiarity with identity systems such as SSO, IAM, or IdPs.
Strong communication skills and the ability to drive projects independently.
Interest in AI/LLM security, prompt injection, data poisoning, model extraction, etc. and mitigations.
Experience with tools like Wiz, Doppler, or 1Password.
Experience with SIEM or security event pipelines.
Kubernetes or service mesh security experience.
Experience with sandboxing or secure execution environments.
Build foundational security systems at one of the fastest-growing AI SaaS companies worldwide.
Shape systems that will support the next decade of company growth.
Work on hard technical problems with real ownership and impact.
Join a small team that values speed, autonomy, and strong engineering taste.
Compensation Range: $160K - $250K
