Siemens Section Manager of AI Competence Center AI能力中心部门经理

上海市
长期
全职

1个月前

Siemens Digital Industries (DI) is an innovator in industrial automation and digitalization. We seamlessly connect the physical and digital worlds with our Digital Enterprise solutions, with the help of a comprehensive "digital twin" for continuous cycle optimization. At the same time, we leverage unlimited data to empower unlimited opportunities for fast and confident decision-making, injecting acceleration into the transformation and sustainable development of industrial enterprises.1. AI Product Strategy Planning & ExecutionLead the development of industrial AI product strategies, integrating industry trends, customer needs, and the company's technical capabilities to ensure alignment with the organization's overall business objectives.2. Cross-Domain Collaboration & Ecosystem BuildingBridge AI innovation with business execution by collaborating deeply with internal experts from Siemens Technology and Digital Industries Software to integrate internal and external resources, accelerating the transformation of cutting-edge technologies into market-ready solutions.3. Customer Insight & Solution Validation

· Lead in-depth customer requirement mining (technical needs + business pain points);
· Oversee end-to-end validation of AI solutions (requirement analysis → model development → PoC deployment), ensuring technical feasibility and quantifiable business value.

4. End-to-End AI Productization Management

· Collaborate with R&D, testing, and operations teams to champion standardized, modular product designs, improving reusability and elevating customer experience.

Your defining qualities1. Experience Requirements

: 8+ years in AI algorithm R&D, AI product management, or industrial software. Priority given to customers with proven track records in manufacturing (discrete/process manufacturing) deployments, or those who have led AI products through the full lifecycle.
: Proficient in at least one programming language; familiar with mainstream AI frameworks (e.g., TensorFlow, PyTorch). Strong foundation in ML/DL theory (e.g., CV/NLP/predictive maintenance algorithms) and practical knowledge of applying LLMs in industrial settings. Adept at statistical methods and data analysis tools.
: Deep understanding of discrete (e.g., automotive, electronics) or process (e.g., chemicals, energy) manufacturing-core pain points, digital transformation needs, and the ability to translate technical jargon into customer-perceptible business value.

2. Skills & Traits

: Exceptional strategic thinking and business acumen. Strong results-driven mindset with a knack for crafting actionable plans to drive goals forward efficiently.
: Proven ability to motivate teams, unlock potential, and build high-performing tech squads through goal-setting, coaching, and incentives.
: Outstanding cross-functional skills to align customer needs (sales/pre-sales), HQ tech teams, and internal R&D resources. Adept at articulating product value and fostering consensus.
: Fluent in both written and spoken English and Chinese.

You'll benefit from

· Diverse and inclusive culture, doing the work you like with people who appreciate it.
· Systematic career development platform, various training courses, and online learning resources for you to help you tailor your growth path based on your strengths.
· 15 days+ annual leaves, with additional benefits such as Christmas leave.
· Generous benefits package, long-term care corporate annuity plan, flexible allocation of commercial insurance, employee stock sharing matching plan for mutual growth, etc.

What else do I need to know?Siemens is the leading provider in the fields of automation systems, industrial controls and industrial software worldwide. Its portfolio ranges from standard products for the manufacturing and process industries to solutions for whole industrial sector that encompass automotive, chemicals, pharmaceutical, food and beverage, glass and solar, as well as water and wastewater.

Siemens

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