The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The RoleAspenTech is seeking a Product Marketing Manager to own the marketing strategy for Industrial AI capabilities across the portfolio. This role requires a technical degree and direct experience marketing AI-enabled software products-not only experience using AI tools.
The driving force behind our success has always been the people of AspenTech. What drives us is our aspiration, our desire, and ambition to keep pushing the envelope, overcoming challenges, and finding a better way. You will experience these qualities through career development programs, community involvement, and collaboration across our global organization.
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.
Your Impact- Own the product marketing strategy for AspenTech's Industrial AI portfolio, including positioning, messaging, segmentation, commercialization priorities, and go-to-market direction.
- Define and drive the portfolio narrative for Industrial AI across AspenTech, clearly explaining how AI, machine learning, hybrid models, generative AI, agentic AI, and industrial data fabric capabilities create differentiated customer value through agility, efficiency, and autonomy.
- Partner with Product Management, AI leaders, R&D, and commercial stakeholders to shape launch strategy, roadmap storytelling, market introduction plans, and adoption priorities for AI-enabled capabilities.
- Translate complex AI capabilities into clear value propositions that connect technical differentiation to measurable business outcomes for technical, operational, commercial, and executive audiences.
- Develop sales enablement tools that help field teams communicate AI differentiation, including messaging frameworks, presentations, battlecards, competitive insights, demos, and buyer-oriented materials.
- Lead development of customer-facing content to build awareness and demand, including solution briefs, presentations, web content, thought leadership, customer stories, event materials, and campaign content.
- Support conference strategy and customer-facing events by shaping abstracts, presentations, demos, and proof points related to AspenTech's Industrial AI strategy and portfolio.
- Collaborate with Industry Marketing to align Industrial AI messaging with market trends, industry challenges, digital transformation priorities, and high-value use cases across target verticals.
- Work cross-functionally with global teams to ensure message consistency, commercial readiness, and effective field execution across the Industrial AI portfolio.
What You'll Need- Bachelor's degree in a technical discipline required, such as Chemical Engineering, Mechanical Engineering, Industrial Engineering, Computer Science, Data Science, Software Engineering, Applied Mathematics, or a related technical field.
- 5-10 years of experience in product marketing, solution marketing, or technical marketing for enterprise software, industrial software, AI software, analytics software, or other complex B2B software offerings.
- At least 5 years of direct experience marketing AI-enabled products, AI-driven software solutions, machine learning products, predictive analytics, optimization software, generative AI applications, or advanced analytics offerings.
- Proven experience owning product or portfolio marketing strategy for AI or technically complex software, including positioning, messaging, portfolio narrative development, go-to-market direction, market segmentation, and launch planning.
- Working knowledge of AI product concepts such as machine learning, model training, model accuracy, data requirements, explainability, trust, guardrails, human-in-the-loop workflows, agentic workflows, AI orchestration, and responsible AI positioning.
- Ability to engage credibly with AI, data science, engineering, product management, and technical buyer audiences. This role requires practical AI product knowledge beyond familiarity with AI productivity tools.
- Strong understanding of Industrial AI, enterprise software, industrial software, analytics, predictive analytics, generative AI, agentic AI, hybrid modeling, industrial data fabric, or adjacent technical domains.
- Experience translating complex AI functionality into differentiated customer value, commercial messaging, executive narratives, and sales-ready enablement.
- Excellent presentation, communication, writing, storytelling, and analytical skills.
- Self-directed, highly motivated, detail-oriented, and able to lead across a global, matrixed organization.
- Ability and willingness to travel as needed.
Preferred Qualifications - Experience marketing software that spans multiple product lines or solution areas.
- Familiarity with industrial software markets such as reliability, engineering, operations optimization, planning, advanced control, digital twins, industrial data, or subsurface workflows.
- Experience supporting technical launches, executive-level messaging, demand generation support, and sales enablement for complex B2B software portfolios.
- Experience marketing solutions involving AI assistants, machine learning, predictive maintenance, optimization, agentic workflows, hybrid models, industrial data fabric, or workflow automation.
Relevant Skills and Experience Industrial AI; AI product marketing; AI software; machine learning; generative AI; agentic AI; AVA; AI orchestration; industrial data fabric; agility; efficiency; autonomy; predictive analytics; hybrid models; AI-enabled products; go-to-market strategy; portfolio marketing; product positioning; strategic messaging; commercialization; launch strategy; sales enablement; competitive intelligence; enterprise software; B2B software; industrial software; technical marketing; solution marketing; responsible AI; explainable AI; model accuracy; data science; AI governance; executive messaging; cross-functional leadership.
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