Manager Software Engineering

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** As passionate about our people as we are about our mission.
** Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun.

We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.## SUMMARY The Engineering Manager is responsible for
** functional ownership of a critical US-based fraud and decisioning platform domain
** and for leading a team of US-based engineers operating within a global delivery  alignment with our AI-First strategy and “All In” commitment, this leader advances intelligent, secure, and scalable fraud detection and prevention capabilities. The role drives platform reliability, measurable performance outcomes, and disciplined engineering execution while fostering a culture of accountability, innovation, and continuous improvement.

JOB DESCRIPTION Functional Platform Ownership (US)
* 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

Global Engineering Oversight
* 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

AI-First Leadership & “All In” Culture
* 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 full 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, Dev Ops 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 EXPERIENCE
* 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
* Strong leadership presence with…