位于北京市的 20 个优质industrial engineer职位（正在招聘！）

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.
We are forming a product organization in China to build them. As Senior Principal Product Manager, you decide what gets built, for whom, and why it wins. You take it from idea to a real business.
This is a senior individual contributor role. We want someone who creates product categories, not someone who manages an inherited roadmap.

What you own

You own the product. You decide what gets built and why, you validate it with customers, and you own the business case. The pod is built around your product judgment.

Day to day, you will:

Find the customer and market problems worth solving in industrial and physical AI, and turn them into product propositions that hold up commercially.
Define the product strategy, the target customer, and the path to revenue.
Run customer discovery directly with industrial buyers in China and globally: design partners, pilots, paying customers.
Turn ambiguous technical problems into clear product bets with explicit hypotheses, success metrics, and kill criteria.
Make scope and sequencing tradeoffs across the lifecycle, from 0 to 1 MVP through launch and scale.
Hold a high bar on product quality and on the rigor of the decisions behind it.
Represent the product to Siemens leadership, customers, and partners.

Basic qualifications

10+ years of product management, with products that shipped and became real businesses.
Demonstrated 0 to 1 work: you identified a problem, defined a proposition, and turned it into a product that customers paid for.
Technical depth to reason about system architecture, ML and AI capabilities and limits, and engineering tradeoffs as a credible peer to a principal engineer.
Direct experience running customer discovery with enterprise or industrial buyers, including senior buyer conversations.
Hands-on with product metrics, experimentation, and disciplined iteration.
Strong written and verbal communication with engineers, executives, and customers.

Preferred qualifications

Experience building products in industrial domains: manufacturing, automation, energy, mobility, infrastructure, healthcare, or similar.
Background in AI and ML products: generative AI, LLMs, agents, multimodal systems, or applied ML in production.
Experience defining a new category, not extending an existing one.
Direct experience selling to or building for enterprise customers in both China and global markets.
Prior experience as the senior product voice on a small technical team where the problem was not yet defined.

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