ai产品总监岗位职责

Company Overview
Lianwei Group is a leading software technical services company in China, dedicated to investing the research & development of cutting-edge AI technologies fenterprise applications that transform industries. We are seeking a talented Product Manager to drive the development optimization of our AI applications, with a focus on data engines model optimization.

Job Summary
As the Product Manager fAI Applications, you will lead the strategy, roadmap, execution of our AI solutions, with a primary focus on optimizing data engines AI model performance. You will collaborate closely with engineering, data science, design teams to deliver scalable, high-impact AI products that meet customer needs drive business outcomes. This role requires a deep understanding of AI/ML technologies, data pipelines, product management principles.

Key Responsibilities
• Product Strategy & Roadmap: Define prioritize the product vision roadmap fAI applications, focusing on data engine efficiency model optimization to enhance performance scalability.
• Data Engine Management: Oversee the development optimization of data pipelines, ensuring high-quality, scalable, efficient data ingestion, processing, storage to support AI models.
• Model Optimization: Collaborate with data scientists engineers to improve AI model accuracy, latency, resource efficiency through
techniques like hyperparameter tuning, model pruning, quantization.
• Cross-Functional Collaboration: Work with engineering, data science, UX/UI, go-to-market teams to align on product requirements, technical feasibility, customer needs.
• Requirements Gathering: Translate business customer needs detailed product requirements, user stories, technical specifications.
• Performance Metrics: Define track KPIs fdata engine performance (e.g., throughput, latency) model performance (e.g., accuracy, inference speed) to measure success guide improvements.
• Stakeholder Communication: Act as the primary point of contact fstakeholders, providing regular updates on product progress, challenges, outcomes.
• Market & Competitive Analysis: Stay informed on industry trends, competitofferings, emerging AI technologies to ensure our products remain cutting-edge.
• User-Centric Focus: Advocate fend-users, ensuring AI applications are intuitive, reliable, deliver measurable value.

Qualifications
• Education: Bachelor’s degree in Computer Science, Engineering, Data Science, a related field; MBA advanced degree preferred.
• Experience:
o 3+ years of AI product management experience, preferably in AI/ML, data platforms, related technical products. A masters degree higher is preferred.
o Proven track record of managing products focused on data pipelines, machine learning models, AI applications.
o Experience working with cross-functional teams, including data scientists, engineers, designers.
• Technical Skills:
o Strong understanding of AI/ML concepts (e.g., supervised/unsupervised learning, model training, evaluation metrics).
o Familiarity with data engineering tools frameworks (e.g. Apache Spark, Kafka, Snowflake, similar).
o Knowledge of model optimization techniques (e.g., quantization, distillation, efficient architectures like transformers).
o Experience with cloud platforms (e.g., Aliyun, AWS, Azure, GCP) their AI/ML services.
• Soft Skills:
o Excellent communication storytelling skills to articulate complex technical concepts to diverse audiences in both English Chinese.
o Strong analytical problem-solving abilities to balance trade-offs between performance, cost, user experience.
o Ability to thrive in a fast-paced, ambiguous environment manage multiple priorities.

Preferred Qualifications
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Familiarity with MLOps practices tools (e.g., Kubeflow, MLflow).
• Priexperience in industries leveraging large-scale AI applications (e.g., consumer goods, finance, healthcare).

Why Join Us?
• Be at the forefront of AI innovation, shaping products that impact millions.
• Collaborate with excellent engineers data scientists in a dynamic, open inclusive environment.
• Competitive salary, equity/option, comprehensive benefits package.
• Opportunities fgrowth (0-1) leadership in a rapidly scalingganization.

岗位职责：
1.深度洞察行业痛点（如 B 端企业智能化转型、C 端用户交互优化），能从数据 / 用户反馈中提炼核心需求；具备 AI 产品商业化思维；
2.具有3-10 年产品经验，其中 2-5 年 AI 相关产品实操经验（大模型、Agent、AIGC、NLP/CV 等方向）；主导过至少 1 个 AI 产品从 0 到 1 落地（含需求定义、技术对接、商业化闭环），有企业级 / B 端产品经验者优先；
3.具有 1-3 年软件开发相关背景（如后端、算法工程、全栈开发），熟悉至少 1 种主流编程语言（Python/Java/Go 等）；主导过 AI 技术在具体业务场景的深度应用（如：智能客服、医疗影像分析、金融风控等），能独立完成场景需求拆解、技术方案落地与效果验证；
4.精通 AI 核心技术：深入理解大模型（LLM）、Agent 架构、RAG、多模态技术原理与应用边界，熟悉 LangChain、LlamaIndex、TensorFlow 等主流框架；
5.了解医疗垂直领域业务流程，注重算法伦理与数据合规，有科研工具类产品经验优先
6. 沟通与表达：精准传递产品策略，具备商务谈判、方案演示能力
7.抗压与创新：具备创业精神，能适应快节奏迭代，在技术限制下提出突破性解决方案；
任职要求：
1. 5年以上产品经理经验，至少2年专注于AI产品的设计与管理，具备从0到1推动AI产品落地的成功案例。
2. 有技术背景，熟悉AI/ML基本原理、常见算法及数据处理流程，有AI知识库，知识图谱建设案例优先。
3. 强大的分析思维与逻辑能力，能从复杂数据中提取关键洞察。
4. 优秀的沟通表达与跨部门协作能力，能够有效推动多方合作达成目标。

工作职责：
1、负责推动大模型在关键金融业务场景中的实际落地应用，制定以业绩变现结果为导向的产品策略和市场推广计划，确保业务目标达成。
2、对大模型及相关AI技术栈有自己的理解，与技术研发团队紧密合作，跟进并强推动产品在开发过程中的问题解决，对产品的业务价值及市场产出结果负责，并持续进行产品的交互优化、效果和性能提升。
3、紧跟AI行业趋势，分析国、内外竞品和客户及用户需求，提升该产品的市场竞争力和市场占有率，实现商业价值的持续增长。
任职要求：
1、本科及以上学历，5年以上产品管理经验，其中至少3年专注于自然语言处理、人工智能领域，有成功将AI产品从0到1再到商业化的完整项目经验。
2、对AI算法技术，尤其是大语言模型有自己的理解，能够基于业务需求提出可行的技术实现路径，强烈的问题解决能力，快速识别并解决影响产品性能和商业化转化的关键问题，并推动技术团队实现产品化。
3、具备强烈的业务敏感度和结果导向的思维，能够推动多团队合作，整合资源，对关键里程碑和交付物负责，能够将市场机会转化为可量化的变现目标。
4、对产品投入产出比ROI数据敏感，具备一定的数据分析能力，能够通过收集内、外部反馈洞察驱动产品能力提升。
5、能够在较高压力的环境下保持旺盛的好奇心和求知欲，具备强烈的责任心和执行力，以结果为导向，确保团队输出与公司目标一致。