Senior Product Manager - Commercial AI

At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.

This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.

We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.

We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.

If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.

Drive revenue growth, margin expansion, and commercial productivity through AI-enabled capabilities across Hexion's commercial engine. Lead discovery, prioritization, delivery, and adoption of AI solutions across Sales, Pricing, Marketing, Customer Service, and Market Intelligence - enabling Hexion to win more, price smarter, and serve customers faster.

- Define and execute a commercial AI strategy aligned to Hexion's growth objectives; identify and commercialize AI use cases that directly impact revenue, margin, and customer experience.

- Lead enterprise deployment of AI/ML across commercial workflows: dynamic pricing guidance, intelligent account prioritization, churn/mix erosion prediction, and LLM/NLP-based win-loss and market signal intelligence.

- Own architecture and delivery of scalable commercial AI platforms: CRM-embedded AI copilots, pricing engine and CPQ integrations, and client-facing self-service portals.

- Lead end-to-end change management for every initiative - stakeholder mapping, SOP/workflow redesign, training playbooks, adoption dashboards, and office hours for commercial teams.

- Own Commercial AI portfolio intake, prioritization, and governance cadence: use-case councils, quarterly roadmap balancing quick wins with longer-horizon bets, and KPI value tracking reported to executive sponsors.

- Serve as connective tissue across Commercial, IT, Data Science, and Product - translating commercial needs into scalable AI solutions and ensuring business ownership of outcomes.

- Manage strategic vendors, technology partners, and external AI solution providers; ensure alignment with enterprise AI standards for responsible AI, data policy, and compliance.

- Build commercial AI fluency programs and communities of practice - helping frontline teams trust AI-assisted insights on pricing, customer risk, and market intelligence.

- Establish operating models supporting rapid experimentation and disciplined delivery; mentor cross-functional teams and foster a culture of accountability, innovation, and execution.

- Ensure AI solutions are production-grade, explainable, and trusted by frontline commercial teams; build reusable solution patterns to accelerate cross-functional deployment.

- Partner with executive leadership to translate AI investments into sustained commercial growth; present transparent roadmap and forecast vs. realized value to executive sponsors.

- 10+ years in commercial transformation, digital/product, analytics/AI, revenue operations, consulting, or commercial excellence roles.

- Proven track record leading cross-functional transformation and driving adoption - not just building models or tools.

- Strong product thinking: ability to define user journeys, requirements, MVP scope, and scale path for AI solutions.

- Solid understanding of GenAI/ML capabilities and delivery patterns (RAG, copilots, agentic workflows, MLOps) sufficient to partner effectively with technical teams.

- Experience with governance, portfolio prioritization, KPI measurement, and executive-level communication.

- Demonstrated change leadership: training, communications, operating model/process redesign, and stakeholder alignment.

- CRM and commercial stack familiarity: Salesforce/Dynamics, CPQ, pricing tools, marketing automation, customer service platforms. (Preferred)

- Experience commercializing or scaling AI-enabled products/platforms; vendor evaluation and partner management for AI solutions. (Preferred)