As passionate about our people as we are about our mission.

What We’re All About:

Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients.  At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live.

What Makes Q2 Special?

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.

The Job At-A-Glance:

We are seeking a Product Manager to lead the development and execution of our fraud prevention software designed to protect financial institutions from fraudulent check and ACH payments. In this role, you will define product strategy, collaborate with financial institutions, and work closely with engineering, data science, and fraud risk teams to deliver cutting-edge solutions that combat payment fraud.

A Typical Day:

Product Strategy & Roadmap

• Develop and execute a product roadmap focused on fraud detection and prevention for check and ACH payments.

• Partner with financial institutions to understand fraud trends, regulatory requirements, and customer needs.

• Analyze market trends and competitive landscape to identify product opportunities.

• Define key product KPIs and drive initiatives to improve fraud detection accuracy and efficiency.

Product Development & Execution

• Work closely with engineering, data science, risk, and operations teams to design and implement fraud detection capabilities.

• Drive the development of AI/ML models, rule-based systems, and real-time monitoring tools to detect fraudulent payments.

• Own end-to-end product lifecycle, from ideation and design to development, testing, and launch.

• Ensure compliance with financial regulations (e.g., Nacha, FFIEC, Reg E) affecting check and ACH fraud prevention.

Stakeholder Collaboration

• Collaborate with banks, credit unions, payment processors, and regulators to align product offerings with industry needs.

• Work with fraud analysts and operations teams to refine fraud detection methodologies and reduce false positives.

• Communicate product vision and updates to internal teams, executives, and external partners.

Customer & Market Insight

• Gather and analyze fraud attack patterns, customer feedback, and industry reports to refine product strategies.

• Develop business cases for new features, balancing fraud prevention effectiveness with user experience.

• Serve as a subject matter expert on fraud detection for check and ACH payments.

Bring Your Passion, Do What You Love. Here’s What We’re Looking For:

• Typically requires a Bachelor’s degree in (relevant degree) and a

  minimum of 5 years of related experience; or an advanced degree with 3+ years of experience; or equivalent related work experience.

• Strong understanding of fraud detection techniques, risk management, and payment processing (ACH, check fraud, wire fraud).

• Experience working with banks, credit unions, fintechs, or payment processors.

• Familiarity with fraud detection models, AI/ML, and rule-based fraud prevention solutions is a plus.

• Knowledge of regulatory frameworks governing payments fraud.

• Strong analytical and problem-solving skills with a data-driven approach.

• Excellent communication skills to collaborate with technical and non-technical stakeholders.

Preferred Qualifications

• Experience with fraud risk platforms, machine learning models for fraud detection, or payments fraud analytics.

• Background in banking operations, fraud investigations, or regulatory compliance.