Staff Product Security Engineer

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $204k - $290k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Affirm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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