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Unternehmen
Taiwan Semiconductor Manufacturing Company Limited
Ort
Taiwan
Karrierebereich
Informationstechnologie
Art des Jobs
Manager / Führungskraft
Art der Beschäftigung
Regulär
Veröffentlicht
09.06.2025
Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. In 2023, the company served 528 customers with 11,895 products for high performance computing, smartphones, IoT, automotive, and consumer electronics, and is the world’s largest provider of logic ICs with annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and its ESMC subsidiary plans to begin construction on a fab in Germany in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.

We are looking for a visionary AI Product Manager to join our team. In this role, you will be responsible for defining, building, and launching innovative product features powered by Generative AI and Large Language Models (LLMs).
Zuständigkeiten
Your job responsibilities include:

1. Product Strategy & Vision: Define the product vision, strategy, and roadmap for Generative AI and Language AI-centric features, such as AI assistants, Application Copilot, and Agentic AI for Knowledge Management, Globalization communication, and Talent Development. Ensure alignment with overall company goals and digital transformation/excellence opportunities.
2. Roadmap & Prioritization: Build and maintain a product roadmap with clear milestones, balancing research innovations, technical feasibility, and business impact. Define success metrics (e.g., user engagement, accuracy, latency, cost efficiency) and prioritize features accordingly.
3. Market & User Research: Conduct thorough market analysis, competitor research, and user research to identify unmet needs and opportunities where Generative AI/LLMs can provide significant value.
4. Product Development & Technical Execution: Translate complex user needs, business requirements, and technical possibilities into clear, detailed product requirements, user stories, and specifications. Lead the product lifecycle from ideation through launch and ongoing refinement, including problem formulation, model implementation, error analysis, feature engineering, and model tuning.
5. Cross-Functional Collaboration & User/Stakeholder Engagement: Act as the main point of contact between DevOps team(including Front-end/Back-end/ML engineers and data scientists), design, and Application PM teams during the product development lifecycle. Engage with users to gather feedback, conduct research, interviews, and usability studies to validate concepts. Collaborate with UX designers to create intuitive experiences for complex AI features. Work with application PM teams to position and launch products successfully.
6. Performance Monitoring & Iteration: Define key performance indicators (KPIs) for AI features, monitor their performance post-launch, gather user feedback, and drive continuous improvement and iteration cycles. Track model performance in production, oversee A/B testing, and iterate on features to improve quality, safety, and efficiency.
7. Stay Current: Maintain a deep understanding of the rapidly evolving landscape of Generative AI, LLMs, VLMs, LMMs, Natural Language Processing (NLP), and related technologies. Propose innovative solutions and features based on emerging technologies.
Qualifikationen
1. Master's degree or above in Computer Science (CS), Electrical Engineering (EE), Statistics, Data Science, Human-Computer Interaction, or a related technical field.
2. At least 5~10 years of product management experience, preferably in a software or technology company, with a proven track record of launching successful products or features. Demonstrable experience (5+ years minimum) working directly on AI/ML-powered products or features. Specific experience with Generative AI, Large Language Models (LLMs), or Natural Language Processing (NLP) applications is essential.
3. Technical Skills: Solid understanding of fundamental AI/ML concepts, particularly those relevant to Generative AI (e.g., transformers, diffusion models, prompt engineering, fine-tuning, retrieval-augmented generation (RAG), embeddings, large language models, visual language models, large multimodality models). Ability to engage in technical discussions with engineers and data scientists. Expertise in Python with a proven track record in AI/ML project development.
4. Excellent teamwork skills and proven ability to lead cross-functional teams, build consensus, and influence stakeholders without direct authority. Strong critical thinking and problem-solving skills, especially when dealing with the ambiguities inherent in AI development.
5. Deep empathy for users and a passion for creating intuitive and valuable AI-driven experiences. Experience with user research methodologies. Outstanding verbal and written communication skills, with the ability to articulate complex concepts clearly to both technical and non-technical audiences.
6. Strong analytical and quantitative skills; ability to use data and metrics to back up assumptions, recommendations, and drive actions.
7. Preferred Qualification (Bonus): Experience working with specific LLM platforms (e.g., OpenAI API, Google Gemini, Anthropic Claude, open-source models like Llama, Qwen,etc.) Hands-on experience fine-tuning or deploying LLMs in production environments. Familiarity with prompt engineering, evaluation metrics, and MLOps best practices.