Affirm
Affirm Offices
Affirm is headquartered in San Francisco and has 3 office locations.
Remote Workplace
Employees work remotely.
Affirm is a remote-first company! Our employees can work anywhere in the U.S. but if an office is more your style, we have office locations in San Francisco, Chicago, New York City, and Pittsburgh.
U.S. Office Locations
San Francisco
San Francisco, CA, United States
Chicago
Chicago, IL, United States
New York
New York, NY, United States
Recently posted jobs
Big Data • Fintech • Mobile • Payments • Financial Services
Lead Affirm’s enterprise AI security review program, threat model LLM and agentic systems, review code and configurations, and develop security guardrails, tooling, policies, and monitoring. Evaluate AI-enabled SaaS vendors, identify emerging vulnerabilities, support incident response, and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance. The role requires expertise in AI security architecture, threat modeling, IAM, cloud infrastructure, policy-as-code, and regulated enterprise environments.
Big Data • Fintech • Mobile • Payments • Financial Services
Own and deliver engineering onboarding across North America and EMEA, including technical learning, hands-on programming, onboarding plans, and community building. Partner with Engineering, Developer Productivity, SRE, Security, Architecture, Product, and corporate teams to create credible content covering AI-assisted development, testing, deployment, observability, and production support. Coordinate cohort logistics, gather feedback, and continuously improve onboarding operations and experiences.
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Big Data • Fintech • Mobile • Payments • Financial Services
Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.
