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Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Own the planning and delivery of AI-driven products, focused on intelligent trading experiences, including LLM-based recommendations, AI-assisted decision-making, trading signals, and personalized investment insights
- Understand user needs and pain points in trading products, and combine LLMs, recommendation systems, and NLP to design and launch high-impact AI features.
- Build LLM-powered generative recommendation systems, upgrading rule-based recommendations into personalized, dynamic experiences.
- Stay up to date on AIGC, LLMs, generative recommendation, and multimodal agents.
- Define and maintain the AI product roadmap, set clear short-, mid-, and long-term goals, and drive continuous iteration from 0→1 and 1→N, with ownership of product outcomes and business impact.
- Work closely with algorithm, backend, frontend, and data teams to productize AI capabilities across the full lifecycle, including prompt engineering, RAG, model evaluation, and A/B testing.
- Use quantitative and qualitative analysis to build evaluation frameworks for AI products, covering metrics such as accuracy, adoption, conversion, and user satisfaction, and continuously optimize product performance.
- Partner with operations, marketing, and compliance teams to support launch, user education, and ongoing operations, ensuring efficient execution within compliance requirements.
- Manage end-to-end AI product development in an agile environment, including experiment design, phased rollout, attribution, and rapid iteration.
Requirements
What you’ll need- Bachelor’s degree or above, preferably in Computer Science, Artificial Intelligence, Data Science, Financial Engineering, or a related field.
- 5+ years of product management experience, including at least 2 years in AI or LLM-related products; background in finance, securities, trading, or wealth management is preferred.
- Strong understanding of LLMs, generative AI, and recommendation systems, including their core principles and limitations; familiar with prompt engineering, RAG, and vector retrieval.
- Strong AI product sense and execution ability, with the ability to turn general model capabilities into reusable product modules and translate complex technical solutions into clear user value.
- Familiar with recommendation system fundamentals such as recall, ranking, and cold start; experience or understanding of LLM-based generative recommendation is a plus.
- Strong data analysis skills, proficient in SQL and BI tools, with the ability to independently design tracking, A/B tests, and performance analysis.
- Excellent cross-functional communication and stakeholder management skills, with the ability to work effectively across technical, business, operations, and compliance teams.
- Strong interest in financial trading scenarios, with the ability to quickly learn fintech, securities, and trading business logic.
Benefits
Comp & perks- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI product managementLLMsgenerative AIrecommendation systemsprompt engineeringRAGdata analysisSQLA/B testingperformance analysis
Soft Skills
cross-functional communicationstakeholder managementexecution abilityuser value translationquantitative analysisqualitative analysisproblem-solvingagile methodologyteam collaborationuser education