US-Based Engineering Manager, AI-Driven Fraud Platform

Q2; Cary (NC); Híbrido; USD 180 000 - 240 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Community Volunteering & Philanthropy

Employee Recognition - You Earned it

Resumo da oferta

Q2 is seeking an Engineering Manager to own a critical US-based fraud and decisioning platform and to lead a team of engineers in a global delivery model. You will advance intelligent, secure, and scalable fraud detection while driving platform reliability and measurable performance outcomes.

In this role, you will provide leadership for US-based engineers, align roadmap priorities with stakeholders, and drive engineering excellence in AI-first initiatives, security, and DevOps maturity.

Qualificações

• 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).
• Strong understanding of distributed systems, observability, secure development practices, and system scalability.
• Experience working within a global delivery model.
• Proven track record of driving operational improvement and delivery predictability.

Responsabilidades

• 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.
• Provide people leadership and day-to-day oversight for US-based engineers.
• Operate effectively within a globally distributed engineering structure with shared functional alignment.
• Ensure delivery consistency, engineering quality, and adherence to common standards and tooling.
• Facilitate cross-region coordination and proactively remove execution barriers.
• Lead adoption of AI-First engineering practices, embedding automation and data-driven decision making into workflows.
• Promote responsible innovation while maintaining production rigor and compliance standards.
• Model an "All In" mindset through ownership of outcomes, transparent communication, and decisive execution.
• Mentor engineers through structured coaching, performance management, and career development.
• Drive high-quality code reviews, architectural governance, DevOps maturity, and CI/CD optimization.
• Lead Agile ceremonies with emphasis on predictability, accountability, and measurable results.
• Support hiring and onboarding to strengthen technical depth and delivery capability.

Conhecimentos

Software engineering

People management

AI/ML integration

Distributed systems

Observability

DevOps / CI‑CD

Leadership presence

Communication

Formação académica

Advanced degree acceptable

Descrição da oferta de emprego

Q2 is seeking an Engineering Manager to own a critical US-based fraud and decisioning platform and to lead a team of engineers in a global delivery model. You will advance intelligent, secure, and scalable fraud detection while driving platform reliability and measurable performance outcomes.

In this role, you will provide leadership for US-based engineers, align roadmap priorities with stakeholders, and drive engineering excellence in AI-first initiatives, security, and DevOps maturity.