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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Security Engineer (AI): Designing and building security foundations for AI product surfaces including agent runtimes, tool permissions, retrieval, content writes, observability, and abuse-resistant systems with an accent on security architecture, enterprise SaaS permissions, and prompt-injection resilience. Focus on building reusable guardrails, automated red-team and regression testing, threat-model-driven launch criteria, and production systems that prevent data exfiltration, tool misuse, cross-tenant leakage, and unsafe workspace mutations.
Location: Hybrid in San Francisco, California, with office attendance required on Mondays, Tuesdays, and Thursdays. The role is based in San Francisco.
Base salary for roles based in San Francisco: $270,000–$340,000 per year, plus equity and benefits.
Company
Notion builds a collaborative AI workspace where knowledge, projects, meetings, and AI tools are combined in one product.
What you will do
Define and build security architecture for AI product surfaces involving customer workspace content, tool execution, content writes, retrieval, permissions, provenance, and auditability.
Develop reusable security libraries, review patterns, test fixtures, and guardrails that help product teams avoid vulnerability classes.
Build automated red-team and regression testing for prompt injection, indirect instruction following, data exfiltration, tool misuse, cross-tenant leakage, and unsafe workspace mutations.
Translate threat models into engineering requirements, production checks, and launch criteria.
Use production signals, incident learnings, and targeted experiments to strengthen architecture and developer workflows.
Help establish secure engineering practices for coding agents, MCP-enabled tools, hooks, and internal automation.
Requirements
8–10+ years of experience designing, building, or securing complex software systems.
Ability to reason about permissions, data flows, trust boundaries, and security architecture in complex systems.
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, including 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 engineering frameworks.
Nice to have
Public security research, vulnerability writeups, conference talks, or open-source work related to product security or secure developer infrastructure.
Culture & Benefits
Hybrid collaboration with dedicated in-office Anchor Days on Mondays, Tuesdays, and Thursdays.
Competitive cash compensation, equity, and benefits.
Emphasis on craftsmanship, durable systems, intellectual curiosity, and practical use of AI as a work collaborator.
Equal opportunity employment and reasonable accommodations during the application process.
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