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Own technical success for a portfolio of large merchants post-sale: lead integrations, advise developers and product teams, resolve critical issues, drive feature adoption, provide product feedback, and improve onboarding and operational efficiency.

As a Senior Software Engineer, you'll lead the backend systems for Affirm's Growth Platform, collaborating and delivering projects while fostering quality and ownership within the team.

The Director, Learning leads the Learning team, crafting strategies and delivering learning solutions to enhance individual and team capabilities, ensuring alignment with business goals, and driving continuous improvement in employee development.

Lead technical partner integrations and solutions for merchants and partners (e.g., Shopify, Stripe). Provide technical leadership, respond to partner inquiries, design and document integrations, advise on platform strategy and tooling, manage project plans and long-term initiatives, and support cross-functional commercial and product teams to improve BNPL checkout experiences.

The Director of Product Management will lead and scale product teams for Loans Lifecycle and Money Movement, setting strategy, aligning with stakeholders, and ensuring platform scalability and compliance.

Design and build a centralized reliability platform for production systems, integrating distributed-systems engineering with AI-assisted tools. Implement AI agents for incident triage, log/trace summarization, and developer-facing APIs. Own projects end-to-end and collaborate with product, infra, data, and SRE teams to iterate and improve system health and debuggability.

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

Independently validate and monitor machine learning models used for credit underwriting, credit risk, and fraud detection. Identify weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Partner cross-functionally to implement and maintain the Model Risk Management framework and support audit, compliance, and regulatory requests.

As a Revenue Operations Analyst II, you'll design and optimize processes for lead management and lifecycle, ensuring efficiency and data integrity while supporting marketing and sales teams.