Senior Product Manager

New

G2 Risk SolutionsFintech risk

Remote (US, Eastern Time Zone), Eastern Time ZoneFull-TimeSenior

Salary not disclosed

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Job Details

Have 5+ years of product management experience; experience in data, AI/ML, or fintech is ideal.
Have experience leading platform modernization or customer transition programs.
Have successfully managed complex, data-driven or analytical products from concept through launch and iteration.
Bring strong technical fluency, including working SQL skills and experience with customer-facing APIs.
Be able to examine and understand data models in detail.
Have experience building business cases, including vendor evaluation, unit economics, and build-versus-buy decisions.
Demonstrate ability to use AI tools in day-to-day product work and collaborate with Data Science on practical, ethical AI-enabled solutions.
Translate customer needs and business objectives into clear product requirements and actionable development plans.
Have strong analytical skills for modeling, KPI analysis, and trend evaluation.
Be comfortable with evolving scope and shared ownership across product teams.
Have a bachelor’s degree in business, analytics, computer science, or a related field; an MBA or advanced degree is a plus.
Fintech, payments, KYB/KYC, or e-commerce risk and compliance experience is preferred.

Own the roadmap and prioritization for merchant onboarding and monitoring products.
Drive modernization of core platform capabilities and build business cases balancing cost, quality, and scalability.
Lead customer transition strategy as products evolve onto new capabilities.
Own product strategy and growth, using market, competitive, and customer research to identify opportunities.
Engage with customers to understand use cases, gather feedback, and validate hypotheses.
Define and prioritize features, write requirements, user stories, and acceptance criteria, and manage backlogs and delivery progress in Jira.
Collaborate with Engineering, Data Science, and cross-functional teams to guide development, meet milestones, and remove roadblocks.
Monitor product performance and customer outcomes using analytical methods.
Partner with Sales, Customer Success, and Operations on go-to-market efforts and product launch readiness.
Incorporate responsible AI capabilities into the roadmap and use AI tools to support product work.

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