Technology Product Manager Digitalization & Industrial AI

This role is contributing to the ABB Process Automation Digital Division in Bangalore .

Key Responsibilities:

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

• Shape the roadmap for ABBs industrial digital platforms (IoT, analytics, AI/ML).

• Translate customer and industry needs into scalable AI-based offerings for asset-intensive industries.

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

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

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

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

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

• Education: B.E./B.Tech in Computer science / Electrical / Electronics / Instrumentation or related field + MBA preferred
• 10+ years of experience in digital product management, presales, or GTM within Industrial Digitalization, IIoT, AI/Analytics platforms .
• Proven success in building and launching AI/ML-powered digital solutions in organizations like Siemens, Honeywell, Schneider, Cognite, Microsoft, AWS, or equivalent.
• Expertise in industrial verticals such as Energy, Utilities, Chemicals, Mining, Manufacturing, or Transportation.
• Strong commercial acumen in SaaS, hybrid, and enterprise deployment models.
• Excellent stakeholder management in a global, matrixed environment .

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