Support the planning and execution of B2B marketing initiatives, including client events, industry engagements, partner activations, scaled education sessions, and other go-to-market activities.
Assist with event coordination, including invitations, RSVP tracking, guest list management, vendor coordination, on-site logistics, and post-event follow-ups.
Work with internal stakeholders such as Sales, Marketing, Product, and regional teams to support the smooth rollout of marketing campaigns and initiatives.
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Support the planning and execution of B2B marketing initiatives, including client events, industry engagements, partner activations, scaled education sessions, and other go-to-market activities.
Assist with event coordination, including invitations, RSVP tracking, guest list management, vendor coordination, on-site logistics, and post-event follow-ups.
Work with internal stakeholders such as Sales, Marketing, Product, and regional teams to support the smooth rollout of marketing campaigns and initiatives.
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Product Discovery and Execution: Identify ecosystem governance problems through user research, data analysis, and collaboration with operations and policy teams. Translate ambiguous problems into clear product requirements, roadmaps, and measurable outcomes.
AI-Enabled Governance Products: Explore where AI can meaningfully improve risk detection, decision support, user education, enforcement, and governance operations. Distinguish problems that are suitable for AI from those that require rules, conventional product solutions, or human judgment.
LLM Product Development and Evaluation: Work with Engineering, Machine Learning, Data Science, and Operations teams to prototype and evaluate LLM-enabled product capabilities. Define evaluation criteria and analyze failure modes such as hallucination, inconsistency, bias, false positives, and false negatives.
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Assist in the construction and daily maintenance of high-quality LLM training datasets and knowledge bases, guaranteeing overall data accuracy, diversity and contextual completeness to support ongoing model training initiatives.
Participate in the design and iteration of labeling systems and taxonomies, and generate large-scale, highly consistent labeled datasets to support supervised learning and reinforcement learning workflows for LLMs.
Independently generate, review and polish massive LLM training data in strict accordance with unified standards, business use cases and evaluation criteria to ensure standardized data output.
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Regularly collect requirements from business units and effectively communicate them to the product development team.
Provide solutions and ensure execution for straightforward payment scenarios.
Coordinate internal product prioritization, ensuring efficient coordination and allocation of development resources to drive orderly progress of business requirements.
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Regularly collect requirements from business units and effectively communicate them to the product development team.
Provide solutions and ensure execution for straightforward payment scenarios.
Coordinate internal product prioritization, ensuring efficient coordination and allocation of development resources to drive orderly progress of business requirements.
...
Product Discovery and Execution: Identify ecosystem governance problems through user research, data analysis, and collaboration with operations and policy teams. Translate ambiguous problems into clear product requirements, roadmaps, and measurable outcomes.
AI-Enabled Governance Products: Explore where AI can meaningfully improve risk detection, decision support, user education, enforcement, and governance operations. Distinguish problems that are suitable for AI from those that require rules, conventional product solutions, or human judgment.
LLM Product Development and Evaluation: Work with Engineering, Machine Learning, Data Science, and Operations teams to prototype and evaluate LLM-enabled product capabilities. Define evaluation criteria and analyze failure modes such as hallucination, inconsistency, bias, false positives, and false negatives.
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Build and enhance the broadcaster operation platform capabilities for LIVE scenarios, including but not limited to broadcaster center, performance review and diagnosis, fan engagement, promotion tools, and content optimization. Diagnose business status, identify critical pain points, and develop differentiated solutions.
Deeply understand regional operational needs, analyze the full lifecycle of broadcasters from both B-side (MCN/agency) and platform perspectives as well as C-side broadcaster perspective, explore new opportunities for operational capabilities, and own end-to-end delivery of features from ideation, design, development, testing, launch to performance measurement.
Establish sound data metrics, continuously monitor and optimize the efficiency and logic of functional modules, and drive ongoing product innovation and business iteration.
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Build and enhance the broadcaster operation platform capabilities for LIVE scenarios, including but not limited to broadcaster center, performance review and diagnosis, fan engagement, promotion tools, and content optimization. Diagnose business status, identify critical pain points, and develop differentiated solutions.
Deeply understand regional operational needs, analyze the full lifecycle of broadcasters from both B-side (MCN/agency) and platform perspectives as well as C-side broadcaster perspective, explore new opportunities for operational capabilities, and own end-to-end delivery of features from ideation, design, development, testing, launch to performance measurement.
Establish sound data metrics, continuously monitor and optimize the efficiency and logic of functional modules, and drive ongoing product innovation and business iteration.
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