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Product Portfolio Manager (w/m/d) for Industrial AI

Job Description Standort: Berlin, other Siemens Locations in Germany are possible Art der Anstellung: Permanent / Full-time
Knowledge for the world of tomorrow.
We are an innovative organization within Siemens with the aim of developing hardware, software and digital services for value creation for our customers with artificial intelligence along the AI lifecycle. Based on Industrial Edge, our goal is to create a portfolio that enables robust, trustworthy and secure integration and operation of AI applications in production environments. Our team defines the associated software and service strategy for Siemens Factory Automation and actively drives the transition, including the associated digital business models, in the industrial field.
You are part of an interdisciplinary team to shape Factory Automation’s software product portfolio in the space of Industrial AI with a customer-centric product development. You manage Industrial AI software products with full responsibility for the results, including definition of their customer and market requirements, growth & profit strategies, business planning, road mapping

What part will you play?
  • You constantly observe and challenge relevant competitors' offerings, driving our portfolio and products to be the benchmark on the market
  • You define product marketing strategies (product, price, placement, promotion) and support marketing and sales enablement, channel and partner development
  • You gather feedback, define metrics, and collaborate with sales, verticals, product owners and development teams to build the best-in-class products and bring them fast to market
  • You collaborate closely with UX and support teams, focusing on designing the right offerings for outstanding customer experience
  • You work closely together with software development teams to incorporate their ideas into your products
  • You are familiar with Lean Startup concepts and how to create MVPs to validate your business hypothesis with the Build-Measure-Learn approach
  • You know how to manage legal, IP, compliance, OSS and quality aspects of a product throughout its lifecycle
  • You contribute to activities to continuously improve the product and portfolio lifecycle, managing and prioritizing the flow of work
What you need to make real what matters.
  • University master's degree, MBA preferred with a focus on entrepreneurship, business creation, technology management, marketing or strategic/risk management
  • Diploma/master’s degree in a technical field, e.g., computer science, mathematics, physics, engineering. Advanced degrees including PhD or MBA are a plus.
  • A university degree in the areas of computer science or related is a plus bot not required
  • Deep understanding and many years experience with digital business development in data analytics related software, services or artificial intelligence enable offerings
  • Self-motivated, decisive, with the ability to adapt to change and competing demands
  • Experience in change or stakeholder management through experience in project management or consulting
  • Work experience in startups is a plus
  • You are familiar with Lean Startup concepts and how to create MVPs to validate your business hypothesis with the Build-Measure-Learn approach
  • Strong ability to translate customer needs to solution design and understand technology impact
  • Excellent interpersonal skills with the ability to build and maintain trustful relationships across all hierarchies and within an ecosystem of internal and external partners
  • High degree of creativity, open-mind, and self-initiative as well as fluency in English complete your profile
Make your mark in our exciting world at Siemens. - if you would like to find out more about Digital Minds at Siemens.
FAQ - if you need further information on the application process.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities..

Organization: Digital Industries

Company: Siemens AG

Experience Level: Experienced Professional

Job Type: Full-time

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