Security Engineer

About the role

About Juicebox

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 where you either compete or lose.

Teams at Ramp, Notion, and leading AI labs use Juicebox to power their hiring, alongside 5,000+ customers from early-stage startups to Fortune 500 companies.

We are on the path to $100M in ARR with 20%+ monthly growth, powering thousands of searches every day and making Juicebox one of the fastest-growing AI SaaS companies in the world.

Juicebox has raised over $116M in funding from lead investors including Sequoia Capital, DST Global, and NFDG. Read more about our $80M Series B https://juicebox.ai/blog/series-b here. Additional investors in Juicebox include Y Combinator, Coatue, Bond, Lux, Verified Capital, and Committed Capital.

About the Role

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 may be a fit if

- 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

Sample projects include

- 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.

What we’re looking for