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 Role AspenTech 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. AspenTech is a global software leader helping industries meet the increasing demand for resources from a rapidly growing population in a profitable and sustainable manner. Our Digital Grid Management software suite, including AspenTech OSI products, helps power and utilities companies achieve superior real-time control, optimization and management for exceptional performance of complex energy networks. If you're looking to make a difference every day and push the limits of performance, AspenTech is doing things no one else thought was possible. As a leading industrial software partner, we help companies all over the world run safer, greener, longer and faster. With over 3700 employees and more than 60 global locations, AspenTech is meeting today's sustainability and business challenges head-on with unmatched expertise, cutting-edge AI-powered technology and a passion to innovate. AspenTech is an Equal Opportunity/Affirmative Action employer. AspenTech does not discriminate against employees or applicants on the basis of age, race, color, religion, creed, ancestry, sex, sexual orientation, gender identity or expression, pregnancy or related conditions, marital status, familial status, national origin, disability, medical condition, genetic information, citizenship, military service or protected Veteran Status or any other basis protected by applicable federal, state, or local law. Reasonable Accommodation: We will provide reasonable accommodations to qualified individuals who have a disability or sincere religious reasons to request accommodation, when necessary to enable the individual to participate in the job application or interview process. If you wish to request an accommodation, please contact us at recruiting@aspentech.com. GDPR Privacy Notice: AspenTech collects a range of personal information during the recruitment process. This may include the following personal or special categories of personal data: recruitment information such as your application form and resume, references, qualifications and membership of any professional bodies and details of any pre-employment assessments; your contact details and date of birth; your gender; your marital status and family details; your identification documents including passport and driver's license and information in relation to your immigration status and right to work with us; information about your contract of employment (or services) including start and end dates of employment, role and location, working hours, details of promotion, salary (including details of previous remuneration), pension, benefits, and holiday entitlement; your racial or ethnic origin; any criminal convictions and offences. AspenTech Security and Privacy Policy Plan Participants Enrolled in the AspenTech US Medical Plans: The Transparency in Coverage Final Rules require certain group health plans to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRF’s). The MRF’s for the benefit package options under AspenTech’s US Employee Benefit Plan are linked below: Transparency in Coverage Rule - Machine Readable Files Transparency In Coverage Rule And Consolidated Appropriations Act Overview and FAQS

Industrial AI Product Marketing Manager (Exp w/ Marketing AI Products).

more at Aspentech.

Customer Success Management Digital Touch Manager

Senior Solution Consultant

Sr. Technical Support Engineer

similar roles.

Applied AI Engineer

Staff Research Scientist

Senior AI Engineer

2027 Index Rebalancing Quantitative Research Intern

Senior Director, Data & AI

Software Engineer, Computer Vision