Engineering Manager - AI-Driven Fraud Platform

Q2; Lincoln (NE); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring Program

Health & Wellness Benefits

Parental Leave

Volunteer Programs

Job summary

Q2 is seeking an Engineering Manager to own the US-based fraud and risk platform domain and lead a team of engineers within a global delivery model. This role emphasizes AI-first capabilities, reliability, and measurable outcomes while fostering accountability and growth.

You will guide architectural standards, recruit and mentor engineers, and partner with Product, Risk, Data, and Engineering to deliver high-impact solutions responsibly and securely.

Qualifications

• 6+ years of software engineering experience (4+ years with advanced degree acceptable).
• 2+ years of people management experience with demonstrated team development outcomes.
• Experience owning or operating a production enterprise platform with defined reliability and performance targets.
• Experience integrating AI/ML-driven capabilities into enterprise systems (preferred).

Responsibilities

• Serve as the US-based functional owner for a core fraud and risk platform domain, accountable for technical direction, platform health, and delivery outcomes.
• Define and maintain architectural standards, operational KPIs, and reliability targets.
• Advance AI-enabled capabilities through intelligent automation, model-driven decisioning, and data observability.
• Ensure production stability through strong monitoring, incident response, and root cause management practices.
• Partner closely with Product, Risk, Data, and Engineering stakeholders to align roadmap priorities with measurable business impact.
• Drive scalability, resilience, and security improvements across the platform.

Skills

Software engineering

People management

AI/ML integration

Distributed systems

Production platforms

Global delivery

Code reviews & DevOps

Education

Master's degree or PhD preferred

Tools

CI/CD tooling

Observability

Job description

Q2 is seeking an Engineering Manager to own the US-based fraud and risk platform domain and lead a team of engineers within a global delivery model. This role emphasizes AI-first capabilities, reliability, and measurable outcomes while fostering accountability and growth.

You will guide architectural standards, recruit and mentor engineers, and partner with Product, Risk, Data, and Engineering to deliver high-impact solutions responsibly and securely.