Product Manager, Core Financial Systems & AI/ML Innovation
New
USFull-TimeMiddle
Salary$89,800 – $120,400
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Job Details
- Experience
- 6–10 years
- Required Skills
- AgileProduct ManagementData science
Requirements
- 6–10 years of product management experience, ideally with exposure to financial systems, ERP platforms, or revenue lifecycle management.
- Proven experience delivering AI/ML-powered products, including collaboration with data science teams and operationalization of models at scale.
- Strong understanding of financial operations, accounting workflows, and enterprise billing or reconciliation processes.
- Demonstrated ability to lead complex, cross-functional initiatives in fast-paced, ambiguous environments.
- Strong systems-thinking mindset with the ability to design scalable, automated, and data-driven solutions.
- Highly analytical and data-driven approach to product development, decision-making, and performance measurement.
- Experience working in agile environments with a strong bias toward experimentation, iteration, and continuous improvement.
- Excellent communication and stakeholder management skills, with the ability to influence senior leaders and align diverse teams.
- Comfort operating in transformation environments and shaping clarity in evolving product landscapes.
Responsibilities
- Lead the vision, roadmap, and execution of next-generation billing and core financial systems, driving the transition toward a unified, real-time financial platform.
- Define and deliver AI/ML-enabled product capabilities that enhance billing operations through predictive analytics, anomaly detection, automated reconciliation, and prescriptive insights.
- Partner with engineering and data science teams to design scalable architectures that embed intelligence directly into financial workflows and systems.
- Translate business, customer, and operational needs into clear product strategies, prioritizing high-impact problems and long-term transformation goals.
- Drive end-to-end product delivery using agile methodologies, experimentation, and data-driven decision-making to continuously improve outcomes.
- Collaborate cross-functionally with finance, operations, UX, and technical teams to ensure alignment and successful execution of the product vision.
- Leverage qualitative and quantitative insights, including AI-driven analytics, to inform prioritization, measure success, and identify innovation opportunities.
- Communicate product strategy and vision to senior stakeholders, ensuring alignment and organizational buy-in across enterprise initiatives.
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