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Senior Manager, AI-Driven Disputes Engineering

MQ Referrals Only

Remote (Global) Full-time Senior 6d ago

About the role

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Senior Manager, AI‑Driven Disputes Engineering (Remote)

Location: Remote (U.S.‑based)
Job ID: J‑18808‑Ljbffr

About Us
We are a fast‑growing fintech leader that powers the next generation of digital payments. Our platform serves millions of cardholders and merchants worldwide, delivering secure, frictionless experiences across every transaction. As we expand our issuer‑side capabilities, we’re building an AI‑powered disputes engine that will set a new industry standard for speed, accuracy, and cost‑efficiency.

Why This Role Matters
Disputes and chargebacks are a critical cost center for issuers and a major source of friction for cardholders. By leveraging machine learning, natural‑language processing, and advanced analytics, we aim to automate the end‑to‑end dispute lifecycle—reducing manual effort, cutting loss ratios, and delivering a superior customer experience. As Senior Manager, you will own the vision, strategy, and execution of this transformation.


Key Responsibilities

Category What You’ll Do
Leadership & Team Building • Lead, mentor, and grow a high‑performing engineering team (5‑10 engineers, data scientists, and QA specialists).
• Foster a culture of ownership, continuous learning, and data‑driven decision‑making.
• Conduct regular performance reviews, career‑development planning, and hiring.
Product & Technical Strategy • Define the roadmap for the AI‑driven disputes platform, aligning with business goals and regulatory requirements.
• Prioritize features such as automated evidence collection, fraud‑risk scoring, and real‑time decisioning.
• Champion best‑in‑class software architecture (micro‑services, event‑driven pipelines, cloud‑native).
AI/ML Development • Partner with data science to design, train, and deploy models for chargeback classification, outcome prediction, and anomaly detection.
• Establish robust MLOps practices: model versioning, monitoring, drift detection, and continuous improvement loops.
• Ensure explainability and compliance with emerging AI governance standards.
Process & Operational Excellence • Streamline the end‑to‑end dispute workflow (intake → investigation → resolution → reporting).
• Implement KPI dashboards (e.g., cycle‑time, win‑rate, cost per dispute) and use them to drive iterative improvements.
• Lead incident response and root‑cause analysis for production issues.
Cross‑Functional Collaboration • Work closely with Product, Compliance, Risk, Operations, and Issuer Partnerships to gather requirements and validate solutions.
• Serve as the technical liaison for external card networks (Visa, Mastercard, Amex, etc.) and regulatory bodies.
Stakeholder Communication • Present roadmap updates, performance metrics, and ROI analyses to senior leadership and board members.
• Translate complex technical concepts into clear business value for non‑technical audiences.

What We’re Looking For

Requirement Details
Experience • 8+ years of software engineering experience, with at least 4 years in a people‑management role.
• Deep domain knowledge of issuer‑side disputes, chargeback processing, and card network rules.
• Proven track record delivering AI/ML‑enabled products in a regulated financial environment.
Technical Skills • Strong command of modern languages (Java, Kotlin, Go, or Python) and cloud platforms (AWS, GCP, Azure).
• Hands‑on experience with data pipelines (Kafka, Kinesis, Spark/Flink) and storage (Snowflake, Redshift, BigQuery).
• Familiarity with MLOps tools (Kubeflow, MLflow, Sagemaker) and model‑explainability frameworks.
Leadership Qualities • Ability to inspire and scale high‑performing, distributed teams.
• Data‑driven decision making; comfortable with metrics, A/B testing, and ROI analysis.
• Excellent communication and stakeholder‑management skills.
Education • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD a plus).
Preferred • Experience with fintech or payments processors.
• Knowledge of PCI‑DSS, GDPR, and other relevant compliance frameworks.
• Prior exposure to serverless architectures and event‑driven design.

What We Offer

Benefit Description
Competitive Compensation Salary range: $180,000 – $230,000 (DOE) + performance‑based bonus & equity.
Remote‑First Flexibility Work from anywhere in the U.S.; we provide a home‑office stipend and coworking‑space allowance.
Health & Wellness Medical, dental, vision, mental‑health coverage, and a generous HSA/FSA.
Retirement & Financial 401(k) with company match, employee stock purchase plan, and financial‑planning resources.
Paid Time Off Unlimited PTO + 12 paid holidays; additional parental and caregiving leave.
Professional Growth Annual learning budget, conference sponsorships, and internal mentorship programs.
Culture & Community Inclusive, mission‑driven environment; regular virtual socials, hack weeks, and DEI initiatives.

How to Apply

  1. Submit your résumé (highlighting dispute‑management and AI/ML projects).
  2. Attach a brief cover letter (max 300 words) explaining why you’re excited about automating disputes and how your leadership style aligns with our values.
  3. Optional: Include a portfolio or GitHub links showcasing relevant code, model pipelines, or architecture diagrams.

We are an equal‑opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


Ready to reshape the future of payments?
Apply now and lead the AI‑driven transformation that will redefine how issuers handle disputes worldwide.


Skills

AI

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