AI Product Solution Expert

YOUR TASKS AND RESPONSBILITIES

Plan and Deliver AI-Enabled Business Solutions

Identify, prioritize, and deliver AI-powered commercial and dataproducts and use cases across brand, channel, retailer, and consumer digitalization. Key areas may include AI-enabled marketing, intelligent customer engagement, conversational data analytics, loyalty programs, and marketing technology platforms. Explore new opportunities in AI-enabled marketing and intelligent customer engagement. Use large language models to build intelligent marketing capabilities for consumers and retailers, including AI-assisted content creation, intelligent customer outreach, and personalized engagement. The goal is to drive customer conversion, engagement, and retention.

Develop End-to-End AI Solutions

Design end-to-end solutions based on industry trends, business needs, and user pain points. Own the full journey from technical concept and prototype to business implementation, user adoption, and value realization. Assess expected costs, benefits, risks, and feasibility. Ensure that AI initiatives can deliver measurable results, such as revenue growth, cost reduction, process efficiency, or better customer engagement.

Translate Business Needs into Product Requirements

Work closely with business stakeholders to understand business problems and convert them into solution proposals, product concepts, prototypes, and functional requirements. Define the product scope, priority, delivery plan, success measures, and acceptance criteria. Partner with data, engineering, security, legal, and external vendor teamsto complete use-case design, solution evaluation, testing, system integration, deployment, and launch. Ensure that business requirements and product decisions are clearly documented and understood by all relevant teams.

Develop the AI Product Strategy and Roadmap

Monitor market trends, emerging AI technologies, and leading practices in relevant industries. Benchmark AI products and commercial applications from leading companies and competitors. Identify approaches that may be relevant to the company’s business needs. Develop and maintain a long-term AI product and capability roadmap to support the department’s digital and AI transformation strategy. Translate the roadmap into clear priorities, use cases, milestones,dependencies, and expected business outcomes.

Manage AI Ecosystem Partnerships

Take the lead on ecosystem partnerships inside and outside the company, engaging directly with technology vendors and industry partners. Screen and evaluate external AI capabilities, and own their introduction, integration, and adaptation to local business needs.

Measure Performance and Continuously Improve Products

Establish a framework to measure AI performance, defining quantitative metrics such as ROI, business conversion, and operational efficiency. Run regular reviews of AI tools and agents and drive ongoing optimization, while ensuring data quality and compliance so that solutions can scale across the business.

Drive Cross-Functional Delivery and Build Organizational Knowledge

Drive delivery to keep projects on schedule and quality up to standard; maintain documentation, and support user training, troubleshooting, and ongoing optimization.

WHO YOU ARE

Education

Bachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Business Analytics, or another relevant field.

We welcome applications from all qualified candidates, regardless of gender.

Professional Experience

Experience in AI products, digital products, data products, or AI solution delivery.

Ability to coordinate cross-functional teams and move projects from concept to implementation.

Strong focus on user adoption and measurable business outcomes.

Experience working with business stakeholders, technical teams, and external partners.

AI and Technical Knowledge

Solid understanding of end-to-end AI product and solution delivery.

Basic Python knowledge, or the ability to communicate effectively with engineering and data teams.

Familiarity with one or more of the following is a plus:

Large Language Models

Prompt Engineering

Retrieval-Augmented Generation

AI Agents

APIs

Cloud Platforms

Experience with or knowledge of AI-enabled marketing, intelligent customer engagement, marketing technology, or data analytics is preferred.

Data and Commercial Understanding

Good understanding of data analysis and SQL concepts.

Ability to define or interpret ROI, conversion, adoption, and operational efficiency metrics.

Ability to connect product features and technical capabilities with practical business outcomes.

Communication and Industry Experience

Good written and spoken communication skills in both Chinese and English.

Experience in FMCG, agriculture, agricultural inputs, retail, or B2B digital transformation is preferred.

Experience in vendor evaluation, ecosystem partnerships, market research, or competitor benchmarking is an advantage.

Preferred Qualifications

Good understanding of the day to day pain points of consumers, retailers, distributors, and channel partners.

Familiarity with generative AI (GenAI) tools, AI agent platforms, marketing automation platforms, and Customer Data Platforms.

Experience building an AI product from concept to launch and demonstrating measurable business impact.

A technical background in engineering, algorithms, data science, or data analytics, with the ability to work closely with technical teams.

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