Product Owner — AI-Driven Fintech Platform (Hybrid)

Q2; United States; Hybrid; USD 110,000 - 145,000; Full time

Benefits offered by this job

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Volunteer Programs

Employee Recognition Programs

Job summary

Q2 is seeking a Product Owner for the Q2 Assistant Platform to own day-to-day definition, prioritization, and delivery of capabilities, including Skills and AI-powered agents. You will partner with the Product Manager, Engineering, Data, and Delivery to translate strategy into actionable requirements and prioritized backlogs, ensuring readiness for customer adoption and successful delivery.

In this role you will turn Q2 Assistant strategy into scalable execution across platform capabilities and

Qualifications

• 3+ years of Product Owner, Product Management, Business Analyst, or related software product experience, or equivalent combination of education and experience.
• Demonstrated experience managing software product backlogs and translating business needs into actionable requirements and user stories.
• Experience partnering directly with Engineering teams through discovery, development, testing, release, and post-launch support.
• Strong understanding of Agile product development practices, including backlog refinement, sprint planning, acceptance criteria, and release readiness.
• Ability to break complex capabilities into clearly scoped, sequenced, and testable increments.
• Strong analytical, problem-solving, organizational, and cross-functional communication skills.
• Technical fluency sufficient to work effectively with Engineering and Data teams on APIs, data dependencies, integrations, and AI/LLM-based capabilities.
• Experience with B2B SaaS, financial services, commercial banking, AI-powered products, or another complex/regulated software environment.

Responsibilities

• Own and continuously prioritize the product backlog for Q2 Assistant, including Skills, AI-powered agents, and supporting platform capabilities.
• Translate product strategy, customer needs, and business requirements into clear epics, features, user stories, acceptance criteria, and delivery plans.
• Partner closely with the Product Manager to translate roadmap priorities into executable work and communicate delivery risks, dependencies, and tradeoffs.
• Serve as the day-to-day Product partner to Engineering and Data, answering questions, refining requirements, resolving ambiguity, and enabling timely decisions throughout development.
• Lead backlog refinement, sprint planning support, acceptance testing, and product validation to ensure delivered capabilities meet defined requirements and quality standards.
• Coordinate dependencies across Engineering, Data, Integrations, Delivery, and other Product teams required to deliver end-to-end Q2 Assistant experiences.
• Incorporate customer, Delivery, Support, and internal stakeholder feedback into backlog prioritization and product improvements.
• Support beta, launch readiness, GA, and post-launch activities, including documentation, enablement, issue triage, and adoption feedback.
• Help operationalize governance and quality standards across core Skills, custom Skills, agents, and other AI-powered capabilities.
• Maintain clear visibility into delivery status, blockers, dependencies, and scope changes for Product and Engineering leadership.

Skills

Product ownership

Backlog management

Agile / Scrum

Requirements gathering

Stakeholder communication

Engineering collaboration

Data/API integrations

B2B SaaS experience

Tools

Jira

Pendo

Job description

Q2 is seeking a Product Owner for the Q2 Assistant Platform to own day-to-day definition, prioritization, and delivery of capabilities, including Skills and AI-powered agents. You will partner with the Product Manager, Engineering, Data, and Delivery to translate strategy into actionable requirements and prioritized backlogs, ensuring readiness for customer adoption and successful delivery.

In this role you will turn Q2 Assistant strategy into scalable execution across platform capabilities and