Technology Product Manager –Digitalization & Industrial AI

Key Responsibilities:

Drive Industrial AI GTM & Market Readiness

1. Lead go-to-market (GTM) strategies for AI-driven digital solutions, ensuring commercial, technical, and operational readiness.
2. Align product packaging, pricing, positioning, and partnerships across global markets.

Define & Evolve AI-Enabled Product Portfolio

1. Shape the roadmap for ABB’s industrial digital platforms (IoT, analytics, AI/ML).
2. Translate customer and industry needs into scalable AI-based offerings for asset-intensive industries.

Ensure Compliance & Trust

1. Collaborate with legal, cybersecurity, and regulatory teams to ensure digital products meet AI ethics, data privacy, cybersecurity, and trade compliance standards.

Sales & Customer Enablement

1. Build and deliver sales toolkits, AI-driven value proposition models, ROI calculators, and objection handling guides.
2. Conduct enablement programs for sales, presales, and partner ecosystems to accelerate adoption.

Industrial AI Launch Planning

1. Lead product launch execution for digital and AI solutions, coordinating across R&D, marketing, sales, and delivery.
2. Monitor adoption, customer outcomes, and market traction to refine offerings continuously.

Customer & Ecosystem Engagement

1. Partner with customers to co-create AI solutions that solve real industrial challenges.
2. Engage with ecosystem partners (cloud, hyperscalers, digital ISVs) to build joint solutions and strengthen ABB’s market position.

Performance Tracking & Feedback

1. Track adoption metrics, customer satisfaction, deal velocity, and competitive performance.
2. Feed insights into continuous product innovation and scaling strategies.

Required Experience & Skills:

Education: B.E./B.Tech in Computer science/Electrical/Electronics/Instrumentation or related field + MBA preferred

1. 10+ years of experience in digital product management, presales, or GTM within Industrial Digitalization, IIoT, AI/Analytics platforms.
2. Proven success in building and launching AI/ML-powered digital solutions in organizations like Siemens, Honeywell, Schneider, Cognite, Microsoft, AWS, or equivalent.
3. Expertise in industrial verticals such as Energy, Utilities, Chemicals, Mining, Manufacturing, or Transportation.
4. Strong commercial acumen in SaaS, hybrid, and enterprise deployment models.
5. Excellent stakeholder management in a global, matrixed environment.

Preferred Qualifications

1. Hands-on understanding of AI/ML lifecycle management in industrial contexts.
2. Experience with digital ecosystems, cloud platforms, and industrial data platforms.
3. Demonstrated ability to influence senior stakeholders and drive digital adoption at scale.
4. Track record of successfully commercializing digital/AI products globally.