Sezzle

AI Engineer

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
• Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
• Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
• Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

AI Engineer II

• Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
• Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally.
• Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
• Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
• Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
• Apply systems thinking to ensure reliability, performance, and security across platforms.
• Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
• Participate in production support and incident response for team-owned systems, learning operational best practices.
• Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.

AI Engineer I

Data Analyst

• Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
• Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns.
• Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings.
• Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior.
• Develop and implement fraud prevention rules, strategies, and controls.
• Stay up-to-date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention.

Fraud Data Analyst

Operations

• Investigate disputed credit card, debit card, and ACH transactions and take suitable action to resolve those disputes within the allowed timeframes.
• Work cross functionally with relevant departments (fraud, disputes) to determine next steps on a case to case basis.
• Investigate individual transactions using internal policies and review methodologies to identify patterns or trends.
• Understand our systems and tools; investigate account patterns through data analysis.
• Collaborate with analysts, operations specialists, data scientists and engineering to improve our loss prevention mechanisms, processes and tools.
• Learn and maintain strong domain knowledge of the world of fraud including prevention techniques and technologies.
• Maintain or exceed established service level agreements (SLAs) for timely resolution of queued cases to minimize potential losses.
• Handle escalations from internal and external stakeholders in a professional and efficient manner.

Sezzle

AI Engineer II

AI Engineer I

AI Engineer II

AI Engineer I

Fraud Data Analyst

Fraud Data Analyst

Fraud Data Analyst

Fraud Data Analyst

Chargeback Operations Analyst

Chargeback Operations Analyst