Manager Software Engineering

Q2Lincoln, NE
Hybrid

About The Position

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 model. In 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.

Requirements

  • 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
  • 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 a bias toward ownership, accountability, and results
  • This position requires fluent written and oral communication in English.
  • Applicants must be authorized to work for any employer in the U.S.
  • We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

  • Experience integrating AI/ML-driven capabilities into enterprise systems (preferred)

Responsibilities

  • 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, 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

Benefits

  • Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs – “You Earned it”
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service