Director of AI Products

Job Description

The incumbent will be fully responsible for leading internal and external teams in the planning, definition and full lifecycle management of AI enterprise-grade service products, AI+hardware consumer products, intelligent customer service products, etc., and be accountable for product launch and implementation.

1. AI Enterprise-Grade Service Products

• Own the full product lifecycle of AI workstation products, covering unified management of enterprise AI capabilities, API integration and intelligent tool consolidation, to support digital transformation of enterprise customers.

• Conduct in-depth exploration of B-end customer needs, drive product development from prototype to launch and promotion, and conduct continuous iterative optimization based on customer feedback and data insights to enhance market competitiveness.

• Lead the establishment of product performance tracking mechanisms, monitor product health via key metrics (e.g., customer activity, feature utilization, satisfaction), and proactively identify improvement opportunities.

2. AI+Hardware Consumer Products

• Lead the product definition of overseas AI+consumer products such as smart pet hardware, focusing on core scenarios including voice interaction, low-power design and IoT connectivity to deliver differentiated user experiences.

• Collaborate closely with hardware R&D and algorithm teams, oversee the full process from sample verification, mold development to mass production, and ensure the delivery of product functions and user experience.

• Establish cross-departmental project management mechanisms, identify and mitigate risks in R&D and supply chain, guarantee on-schedule milestone delivery, and continuously optimize delivery efficiency.

3. Intelligent Customer Service Products

• Responsible for product planning of multi-language, multi-channel intelligent customer service systems, including text chat, voice interaction and SIP trunk integration, to build efficient customer service experiences.

• Design a flexible architecture supporting multi-tenant configuration to meet personalized customer demands, and promote synergy and optimization with manual customer service systems to improve overall service efficiency.

• Continuously optimize dialogue flows and knowledge base systems based on service data and user feedback, reduce manual intervention rates, and increase first-contact resolution rates for customer issues.

4. Product Performance Improvement

• Establish clear goal decomposition and tracking systems for all product lines to ensure high-quality delivery of key tasks on schedule.

• Align objectives proactively with cross-functional teams including business and R&D, resolve execution bottlenecks through agile iteration and risk forecasting, and improve team collaboration efficiency.

• Conduct regular reviews of product data and business outcomes, develop performance improvement plans, and drive continuous enhancement of product experience and business value.

Job Requirements

1. Core Competencies

• Possess AI product thinking, with basic understanding of technologies including large language models, Agent and RAG, and the ability to translate AI capabilities into concrete product features and business value.

• Have 0-to-1 product launch experience, capable of independently completing requirement analysis, product design and project promotion in either ToB or ToC domains.

• Have awareness of goal decomposition and performance improvement, able to drive product and team efficiency enhancement through data and process optimization.

2. Professional Experience

• Candidates with experience in any of the following areas are preferred:

  • Product experience in AI+hardware integration (e.g., smart devices, IoT products)

  • ToB enterprise service product experience (e.g., API platforms, enterprise portals)

  • Product experience in intelligent customer service/dialogue systems

• Prior experience in global/overseas product development is a plus; familiarity with overseas user habits and compliance requirements is highly valued.

3. Mindsets and Personal Traits

• Results-oriented: Able to decompose complex objectives, drive cross-team collaboration, and deliver products on time with high quality.

• Customer-centric: Proactively identify customer pain points and iterate products rapidly based on data and feedback.

• Review & improvement mindset: Excel at summarizing lessons from projects, proactively identifying issues and driving process optimization.

• Learning agility: Sensitive to emerging technologies and industries, capable of quickly adapting to unfamiliar fields and delivering professional judgments.

• Stress tolerance: Adapt to the pace of concurrent multiple product lines, and identify optimal solutions with limited resources.

Bonus Points

• Experience in startups or high-growth teams, able to adapt to flexible and dynamic working models.

• Technical background, enabling efficient communication with R&D and algorithm teams.

• Experience in hardware supply chain management or overseas market promotion.