Senior Software Engineering Manager, Marqeta

• Experienced engineering leader (8–12+ years in engineering, 4+ years managing senior engineers or managers)
• Hands-on AI-first mindset: you embrace AI/ML to improve team velocity, drive automation, and reduce manual work
• Strong ownership mentality — you thrive in ambiguity and take full responsibility for outcomes
• Deep understanding of issuer-side card and money movement disputes, including network flows (Visa, Mastercard, Discover, AmEx) and timelines
• Comfortable customer- and network-facing, translating technical details into actionable insights
• Excellent communicator who can lead cross-functional initiatives and influence stakeholders

Desirable

• As Marqeta's Senior Manager, Software Engineering within our Risk, Fraud and Disputes pod, you will lead the design, development, and execution of issuer-side disputes across card networks and multiple payment rails
• You will be responsible for building and operating systems that manage cardholder disputes, chargeback lifecycles, network rules, evidence workflows, and regulatory timelines
• This is a hands-on leadership role for someone with deep experience in disputes and chargebacks who is AI-first, takes full ownership of outcomes, and is comfortable engaging directly with enterprise customers and networks to resolve complex dispute scenarios
• Own the end-to-end issuer dispute lifecycle, ensuring timely, accurate, and compliant resolution of cardholder disputes
• Drive AI-first automation, reducing manual handling and increasing efficiency across dispute classification, evidence management, and prioritization
• Lead and mentor a high-performing team, improving engineering velocity and system reliability through intelligent workflows and automation
• Act as the technical and business-facing leader in customer and network escalations, translating real-world issues into system improvements
• Partner cross-functionally with Risk, Compliance, Product, Operations, and Legal to shape platform roadmap and dispute strategies
• What Success looks like
• Issuer dispute resolution timelines consistently meet or exceed network SLAs
• Manual dispute handling is materially reduced via AI-driven workflows
• Loss rates decline through better classification, evidence, and prioritization
• Engineering team velocity improves through automation and AI-assisted workflows
• Customers and issuing partners view the team as trusted experts
• Clear ownership, accountability, and operational excellence across dispute systems

• Application submission
• Recruiter video call
• Hiring Manager Interview
• Virtual “Onsite” consisting of three-four 45-60 minute rounds (1 Pair Programming Interview included)
• Offer!