Global Product Manager – Physical AI Engineering & Simulation

ABB Inc; Mölndals kommun; Hybrid; SEK 1,333,000 - 1,999,000; Full time

Job summary

ABB is seeking a senior leader to define the portfolio strategy for its Robotics software and AI-driven engineering tools. You will shape an integrated toolchain for industrial Physical AI, spanning engineering, simulation, data, AI training and validation, with a global scope and a hybrid work model.

You will drive product strategy, lifecycle decisions and partnerships to accelerate adoption of ABB Robotics’ software portfolio across engineering teams, system integrators and customers worldwide.

Qualifications

• Bachelor’s or Master’s degree in engineering, computer science, robotics, automation, or a related technical discipline.

Responsibilities

• Define portfolio strategy and drive growth: portfolio vision, strategy and roadmap with customer value propositions and market positioning.
• Drive RobotStudio’s journey towards autonomous engineering for Physical AI: evolve robotics engineering and simulation into AI-enabled workflows.
• Translate customer needs and technology developments into products and capabilities and drive adoption across the installed user base.
• Advance agent-assisted engineering: enable autonomous and AI-assisted engineering across pipelines with modular products and stable APIs/SDKs.
• Own product requirements, priorities, pricing, launches and lifecycle decisions with R&D and cross-functional teams.
• Develop the ecosystem and market presence: build strategic partnerships and drive go-to-market decisions.
• Deliver measurable customer outcomes: seamless journey from virtual engineering to deployment and lifecycle improvement.

Education

Bachelor’s or Master’s degree in engineering, computer science, robotics, automation, or a related technical discipline.

Job description

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we’ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you’ll be part of a pioneering team shaping the future of robotics—working alongside world-class experts in a fast-moving, innovation-driven environment.

This Position reports to:

Digital Lead - Global

Help shape how the next generation of industrial robots is engineered, trained and brought to life. In this role, you will drive the evolution of ABB Robotics’ integrated toolchain for industrial Physical AI. You will lead a portfolio spanning engineering tools, simulation and AI-enabled workflows, enabling customers to design, program, simulate, validate and continuously improve robotic applications – from virtual concept through real-world production. You will define the product strategy and drive the development of a scalable, commercially sustainable software portfolio that makes industrial automation faster to engineer, safer to validate and easier to evolve.

This is a global role; the preferred location is within Europe.

Working model is hybrid

30% or more of travelling might be required for this position.

Your responsibilities:

• Define portfolio strategy and drive growth: Set the portfolio vision, strategy and roadmap, including customer value propositions, market positioning, business models and investment priorities to drive profitable growth.
• Drive RobotStudio’s journey towards autonomous engineering for Physical AI: Build on its leading position in robotics engineering and simulation, evolving it into an agentic engineering platform spanning synthetic data, AI training and validation as part of ABB Robotics’ broader Physical AI platform.
• Turn technology into adopted products: Translate customer needs and technology developments into products and capabilities, and drive their adoption across the installed user base by systematically identifying and removing technical, workflow and usability barriers.
• Advance agent-assisted engineering: Evolve engineering workflows towards autonomous and AI-assisted approaches, enabling seamless integration across engineers, automation pipelines and AI agents through modular products, stable APIs and SDKs.
• Drive product execution: Own product requirements, priorities, metrics, pricing, launches and lifecycle decisions, working closely with R&D and cross‑functional teams from early technical exploration through scalable product delivery.
• Develop the ecosystem and market presence: Build strategic partnerships with customers, system integrators and technology providers. Lead build, buy and partner decisions and drive go‑to‑market activities.
• Deliver measurable customer outcomes: Enable a seamless journey from virtual engineering and experimentation through commissioning, deployment and lifecycle improvement, driving greater engineering productivity, faster deployment and improved validation quality.

Your background:

• Bachelor’s or Master’s degree in engineering, computer science, robotics, automation, or a related technical discipline.
• 10+ years of experience in robotics, automation, industrial software, simulation or related engineering technologies, with experience shaping product or technology strategy.
• Proven ability to turn technology innovation into products, drive adoption of new technologies and ways of working across large user bases, and systematically remove barriers to adoption.
• Ability to operate across levels, from strategy and investment discussions with senior management and customers to detailed technical discussions with engineering teams.
• Hands‑on technical mindset, using prototypes and modern AI‑assisted development tools to explore and validate ideas together with engineering teams.
• Working knowledge of modern simulation and emerging Physical AI technologies, including areas such as agentic engineering, reinforcement learning, computer vision, VLA models and simulation-based training a plus.

We value people from different backgrounds.