About the Role:We are hiring an experienced security engineer with 10+ years of experience to own cross-cutting programs at the intersection of product, infrastructure, and AI. You will be hands-on with core security primitives while coordinating across 5-10+ engineering teams to land multi-quarter changes safely-often in customer-facing, enterprise-critical surfaces (identity, authz, domain posture, and AI agent safety).
In this role, you will be the primary owner for key authentication migrations, AI guardrail infrastructure, and authorization platform direction-work that directly unblocks enterprise security commitments, AI-agent launches, and the next milestone in our authz architecture.
What You'll Achieve:- Modernize and migrate authentication across Notion's product surfaces (SAML/OIDC, OAuth flows, session semantics, passkeys, CSP, redirect handling), landing multi-quarter changes with clear rollout plans and minimal customer disruption.
- Build and operate Notion's AI safety guardrail stack, including prompt-injection protections (vendor evaluation, deployment model decisions, integration with agents) and an external-source provenance system for AI-generated content across Mail, Calendar, and MCP.
- Advance our authorization platform direction by driving crisp architectural trade-offs (e.g., SpiceDB vs. Macaroons) and shipping reusable primitives that product teams can adopt without bespoke security work.
- By day 90: own one P0 security program end-to-end-RFC, rollout plan, partner alignment, execution, and measurable risk reduction-plus ship one piece of AI leverage (e.g., an internal security agent for triage/verification/continuous checks) that improves correctness and reduces time-to-resolution.
- By end of year 1: raise the bar on security engineering craft by setting clearer standards for secure primitives (auth/authz, provenance, domain posture), improving adoption paths for partner teams, and reducing recurring classes of vulnerabilities through better systems-not heroics.
Skills You'll Need to Bring:- Demonstrated ability to ship security-critical infrastructure in production systems (identity/authentication, authorization, platform primitives), including migrations that affect customers and require careful rollout and backwards compatibility.
- Strong judgment navigating ambiguous trade-offs (security vs. product velocity, correctness vs. ergonomics, centralized platforms vs. local autonomy), with a track record of writing clear RFCs and aligning cross-functional stakeholders.
- Experience building or operating AI/LLM security protections (e.g., prompt injection, tool/data provenance, policy enforcement) or a clear ability to ramp quickly and lead in an emerging domain.
- High agency and systems mindset: you proactively find the real constraint, unblock partner teams, and build primitives that compound across the org (not one-off fixes).
- Comfort mentoring and multiplying others-through intern/project ownership, enablement sessions, and pragmatic security guidance that engineers actually adopt.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $290,000 - $350,000 per year.
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A Note on AIYou don't need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement - when that's the case, we'll make it explicit in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, move faster, and build more creatively.
