AspenTech creates software innovations that help industrial companies improve performance, reliability, agility, efficiency, autonomy, and sustainability across the asset lifecycle. This role will support the positioning, messaging, commercialization strategy, and go-to-market direction for AI-enabled offerings across the portfolio, including AVA, Aspen Hybrid Models, predictive analytics, agentic AI workflows, and other Industrial AI capabilities spanning AspenTech’s product suites such as Asset Performance Management, Performance Engineering, Manufacturing & Supply Chain, Subsurface Science & Engineering, and Digital Grid Management.
The Product Marketing Manager – Industrial AI is a global role and a significant contributor to business growth. You will partner closely with Product Management, AI and data science leaders, R&D, Sales, Solution Consulting, Industry Marketing, Corporate Marketing, and field teams to shape differentiated narratives, support product launches, build sales enablement, and translate complex AI capabilities into clear customer value.
What We Mean by Industrial AI
Industrial AI is AI built for mission-critical industrial environments. It combines artificial intelligence methods — including machine learning, deep learning, generative AI, and agentic AI — with engineering fundamentals, asset knowledge, industry expertise, operational data, domain-specific models, and industrial data fabric capabilities. AspenTech’s Industrial AI value framework centers on agility, efficiency, and autonomy, with AVA helping orchestrate AspenTech solutions and industrial data fabric capabilities aggregating and contextualizing data and models.
Agility: helps customers adapt faster to business conditions, operating constraints, and new opportunities to create value.
Efficiency: helps the workforce make decisions faster through explainable recommendations, domain-aware insights, and guided workflows.
Autonomy: helps free engineers for more critical activities by optimizing tasks and advancing toward more autonomous industrial workflows.