Software Engineer, AI Security

About the Role

Notion is looking for an experienced engineer who has designed and built secure software systems to help define the security foundations for our AI products. You’ll work with product and engineering teams on agent runtimes, tool permissions, retrieval, content writes, observability, and abuse-resistant design. You’ll turn product risks into clear architecture, reusable guardrails, automated tests, and production systems that help teams ship new features safely. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays, and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

Responsibilities

• Define and build security architecture for product surfaces that operate across customer workspace content, including tool execution, content writes, retrieval, permission checks, provenance, and auditability.
• Make the secure path the easy path for product teams by shipping reusable libraries, review patterns, test fixtures, and guardrails that prevent classes of vulnerabilities.
• Build automated red-team and regression testing for risks such as prompt injection, indirect instruction following, data exfiltration, tool misuse, cross-tenant leakage, and unsafe workspace mutations.
• Translate threat models for new product surfaces into concrete engineering requirements, production checks, and launch criteria.
• Use production signals, incident learnings, and targeted experiments to harden Notion over time, then feed those learnings back into architecture and developer workflows.
• Help define the security bar for how engineers use coding agents, MCP-enabled tools, hooks, and internal automation without introducing new risk.

Qualifications

• Secure software engineering craft: 8-10+ years of experience designing, building, or securing complex software systems, and comfort working in production code with product and platform engineers.
• Security architecture judgment: Ability to analyze complex systems, identify risks in permissions, data flow, or trust boundaries, and redesign for improvement.
• Security product strategy: Skill in translating complex security risks into actionable product designs or architectures.
• Builder mindset: Preference for creating useful tools, tests, libraries, or patterns over leaving tasks for others.

Nice To Haves

• Experience building or securing products with tool use, retrieval, workflow automation, content writes, or complex permission boundaries.
• Hands-on experience with prompt-injection testing, red teaming, model behavior evaluation, or abuse-resistant application design.
• Experience with enterprise SaaS security models: permissions, sharing, audit logs, data residency, encryption, compliance, or customer-facing trust guarantees.
• Experience building developer tooling, CI checks, coding-agent workflows, MCP integrations, or internal frameworks that shape how engineers build software.
• Public security research, vulnerability writeups, conference talks, or open-source work related to product security or secure developer infrastructure.

Pay

For roles based in San Francisco, the estimated base salary range for this role is $270,000 - $340,000 per year. The compensation offered will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise.