JD.COM
Financial AI Product Manager
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Job Overview
We are looking for an experienced Financial AI Product Manager to design, iterate and optimize AI-powered financial product solutions. Integrating AI and big data with corporate financial scenarios (including accounting, expense management, financial analysis, risk control and intelligent audit), you will oversee full-lifecycle product management, drive financial system digital upgrading and efficiency improvement, and deliver high-value intelligent financial products for enterprise users.
You need solid financial business knowledge and practical AI application capabilities to identify user demands and pain points, translate business requirements into feasible product solutions, and collaborate with cross-functional teams to support product launch and scaled iteration.
Key Responsibilities
- Product Strategy & Planning: Formulate product roadmaps and iterative strategies by tracking fintech and financial AI industry trends, analyzing market competitors and user demands.
- Full Lifecycle Management: Take charge of the complete product development process, including demand research, prototype design, PRD drafting, project coordination, development follow-up, testing, launch and post-operation iteration.
- AI Scenario Implementation: Design and deliver AI-driven financial scenarios based on LLM, data analysis and intelligent algorithms, covering intelligent bookkeeping, automated reimbursement, financial reconciliation, risk early warning, intelligent financial reporting and audit inspection.
- Demand Management: Communicate with internal teams and enterprise clients to mine core demands, establish standardized demand libraries, and prioritize requirements to improve iteration efficiency and user value.
- Cross-team Collaboration: Cooperate with algorithm, development, test and business teams to clarify product requirements, solve project issues, coordinate resources and ensure high-quality product delivery on schedule.
- Data-driven Iteration: Build product operation indicator systems, monitor product usage, user satisfaction and algorithm performance, and continuously optimize product functions, models and user experience.
- Compliance Control: Ensure all product functions and data processing comply with financial industry supervision, data security and enterprise financial management norms to avoid compliance risks.
- Value Operation: Support product promotion and client delivery, sort out value cases, and promote commercialization and scaled application of financial AI products to reduce corporate financial costs and improve operational efficiency.
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Job Requirements
- Education & Experience: Bachelor’s degree or above in Finance, Accounting, Computer Science or related majors; 2+ years of product experience in financial AI, fintech or enterprise financial SaaS with mature product landing cases.
- Business Capability: Proficient in full-link enterprise financial processes (expense management, accounting, reconciliation, settlement, analysis, audit and risk control), able to independently mine demands and design business scenarios.
- AI Product Competency: Familiar with underlying AI technologies including LLM and machine learning; capable of designing financial AI solutions and cooperating with algorithm teams for model optimization.
- Professional Skills: Skilled in product tools (Axure, Xmind, Visio) and standardized PRD writing; familiar with agile development workflow.
- Comprehensive Quality: Strong data sensitivity and logical thinking; excellent cross-team communication, project management and problem-solving skills; rigorous, responsible and able to work under pressure.
- Language: Proficient in English reading and writing is preferred.
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Preferred Qualifications
- Experience in well-known fintech companies, enterprise SaaS platforms or financial AI digital transformation projects.
- Possess CPA, ACCA, CMA or other professional financial certificates, with financial audit or management experience.
- Practical experience in large model application in finance, such as document parsing, financial text analysis, intelligent Q&A and automated report generation.
- Independent experience in full-lifecycle delivery of core financial AI products with verifiable business results.
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