Staff Product Security Engineer

🕒 Setembro 15

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $204.000 - $290.000 / ano

⏰ Tempo Integral

🔴 Especialista

👮‍♂️ Cibersegurança / Engenheiro de Segurança

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Affirm

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2012

💳 Fintech

👥 B2C

🛍️ Comércio Eletrônico

💰 Post-IPO Equity em 2021-01

Fintech • B2C • eCommerce

A Affirm é uma empresa de tecnologia financeira que oferece um serviço de Buy Now, Pay Later (BNPL), permitindo que os consumidores façam compras e paguem ao longo do tempo com planos de pagamento flexíveis. A Affirm elimina taxas ocultas e juros compostos, fornecendo termos e condições claros aos seus usuários. A empresa também oferece o Affirm Card, um cartão de débito que permite solicitar o pagamento ao longo do tempo para compras de maior valor ou pagar à vista as menores. A Affirm faz parcerias com diversos varejistas em várias categorias, incluindo eletrônicos, vestuário e viagens, proporcionando aos clientes a conveniência de pagar ao longo do tempo no checkout, tanto online quanto em lojas físicas. Os serviços da Affirm são integrados ao Apple Pay, permitindo que os clientes efetuem pagamentos de forma fluida diretamente do iPhone ou iPad.

Descrição

• Build and run Affirm's end-to-end security review process for enterprise AI/LLM systems • Evaluate architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features • Embed security requirements into the AI system design phase • Threat model AI/LLM systems and data flows for prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure • Drive remediation of identified risks • Review source code, system prompts, agent configurations, and tool/permission manifests such as MCP definitions • Help tool owners create security-focused test cases and red-team/evaluation scenarios • Design and build AI security guardrails and tooling for permission boundaries, authentication/authorization, data handling, logging/monitoring, and policy-as-code • Evaluate third-party SaaS AI capabilities during vendor and SaaS security reviews • Drive risk-based AI adoption decisions • Identify emerging AI/agentic security vulnerabilities and develop mitigations • Contribute to AI-specific incident response playbooks as a senior escalation point • Lead cross-functional AI security initiatives across Security, Legal, Privacy, Compliance, IT, and Engineering • Advise technical and executive stakeholders as an internal subject-matter expert • Monitor the AI security landscape, including OWASP LLM Top 10 and MITRE ATLAS, and translate research into practical controls

🎯 Requisitos

• Hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems • Deep expertise in enterprise security systems, processes, and controls • Practical experience threat modeling and reviewing AI/LLM applications, including OWASP Top 10 for LLM Applications • Experience securing agentic systems and tool-calling frameworks, including MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries • Experience building AI governance artifacts, including acceptable use policies, data-handling standards, and vendor/model risk assessments • Experience evaluating AI capabilities within SaaS platforms as part of vendor reviews • Experience with enterprise AI visibility and control tools such as CASB and IdP/Okta • Familiarity with OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, and Jira • Ability to build security tooling, guardrails, and detections with Python or similar • Experience deploying cloud services and policy-as-code with Infrastructure as Code, such as Terraform • Familiarity with Kubernetes and AWS • Understanding of LLM and agentic-system concepts including RAG, embeddings, fine-tuning, and tool use • Understanding of OAuth2, SAML, service-account/non-human identities, application architecture, and threat modeling • Ability to lead cross-functional initiatives and communicate with technical and executive audiences • Experience in regulated environments such as SOC 2 and PCI DSS is a plus • Experience applying IAM to non-human/agent identities is a plus

🏖️ Benefícios

• Base pay may include equity rewards • Monthly stipends for health, wellness and tech spending • 100% subsidized medical coverage, dental and vision for employees and dependents • Health coverage at no cost: 100% of premiums covered for employees and dependents • Flexible time off • Generous holiday calendars • Employee stock purchase plan (ESPP) to buy Affirm stock at a discount • Inclusive interview process and accommodations for candidates with disabilities • Remote-first flexibility; most roles can be done from almost anywhere within the country of employment • In-person onboarding experience for all new hires

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