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Bybit, a leading global cryptocurrency exchange and digital financial platform serving 80+ million users, is seeking a Product Manager Expert to lead end-to-end product design for AI and LLM-powered applications. You will own the full lifecycle of AI products—from zero to one—including intelligent customer service, personalized recommendations, AI assistants, and automated workflows.
As a hybrid product builder, you will be the critical connector between user insights, AI technical capabilities, and business objectives. You'll collaborate closely with ML engineers, data scientists, and business stakeholders to translate complex AI capabilities into compelling user value.
Key responsibilities include:
- Owning the complete product lifecycle of AI applications, producing high-quality PRDs, interaction flows, and acceptance criteria
- Deeply engaging in Agent product design, including task planning, tool-calling strategies (Function Calling/MCP), context management, multi-agent orchestration, and failure handling
- Building evaluation frameworks for AI products, designing test scenarios, defining metrics (accuracy, hallucination rate, task completion), and driving continuous model iteration
- Leading platform architecture for intelligent customer service and conversational assistants, including knowledge base design, dialogue flows, corpus annotation, and case summarization
- Collaborating with ML and data teams to design recommendation strategies and generative UI products that drive CTR, conversion, and retention
- Identifying opportunities to apply AI technologies (RAG, prompt engineering, multimodal) to concrete business use cases
- Acting as product owner in close collaboration with algorithm, engineering, data, design, operations, and business teams in a fast-moving AI-native environment
Requirements:
- 3+ years of product management experience, with at least 1 year of direct hands-on experience delivering AI application products, AIGC products, or Agent products; must have fully shipped at least one AI-related feature module or standalone product
- Deep understanding of mainstream AI technologies including LLM prompt engineering, RAG architecture, Agent fundamentals (tool calling, task planning, context window management), and conversational system design; ability to independently evaluate technical proposal feasibility
- Proven ability to design AI product evaluation frameworks—independently defining metrics, building test case sets, and tracking performance through data analysis; familiarity with A/B experiment design and data-driven decision-making
- Ability to write structured, logically rigorous PRDs, technical requirement documents, and flow diagrams; excellent cross-functional communication skills bridging technical and business teams
- Sharp ability to translate ambiguous user needs into clearly defined product requirements; skilled at balancing AI capability boundaries with user expectations
- Sustained enthusiasm for continuous learning in a rapidly evolving AI landscape; strong sense of ownership and ability to drive decisions in highly ambiguous environments
Nice to have:
- Familiarity with MCP (Model Context Protocol), Function Calling, and multi-agent orchestration frameworks (LangChain, AutoGen, CrewAI)
- Experience with AI Harness/Eval/Benchmark platform product design or LLM evaluation systems
- Background in Fintech, e-commerce, or SaaS with understanding of AI product design in high-concurrency, compliance-sensitive environments
- Bilingual fluency in Chinese and English (spoken and written)
