> Markdown version of [/jobs/ext/3884483-principal-product-manager-enterprise-ai](https://www.wearedevelopers.com/jobs/ext/3884483-principal-product-manager-enterprise-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Product Manager, Enterprise AI - **Company:** Weyerhaeuser - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $131,000.0 - $196,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Uipath, Information Technology, Deployment Automation, Servicenow - **Published:** October 23, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28015992/Principal-Product-Manager-Enterprise-Ai-Washington-Seattle-1314 ## About the Role * Educational Background: Bachelor's degree in Business, Computer Science, Engineering, or related field; MBA or advanced degree are a plus. * Experience: 7 years of product management experience, including experience building a new product line or portfolio from the ground up, ideally spanning AI/ML-enabled products. * Cross-Functional Range: Demonstrated ability to operate across multiple corporate functions (e.g., IT, Finance, Procurement, Legal, HR) and translate varied stakeholder needs into one coherent roadmap. * Technical Fluency: Working knowledge of AI/ML product patterns and enterprise service-management or workflow platforms (e.g., ServiceNow, UiPath, etc) and how they relate to an AI automation layer. * Analytical Expertise: Extensive experience with business case development, ROI assessment, and performance measurement for technology-driven projects. * Executive Communication: Proven ability to build and present business cases to senior leadership and secure buy-in across functions that do not report to you. * Change Leadership: Experience leading organizational change and driving adoption of new automated processes across non-technical business functions. ## Description * Strategic AI Roadmaps: Develop and execute a product strategy for AI-driven automation across corporate support functions, identifying where an agent-assisted or automated flow can reduce cost, improve response time, or free up capacity. Clearly articulate milestones, KPIs, and alignment with company objectives. * Lifecycle Management: Lead the full AI lifecycle - from ideation, business case validation, and prioritization to implementation, scaling, ongoing measurement, and continuous improvement-leveraging Weyerhaeuser's standardized AI Factory framework. * Opportunity Identification: Conduct process and value-chain analysis across Support, Procurement, Finance, and Legal-style workflows to identify and prioritize automation opportunities, in partnership with the functional leaders who own each process today. * Business Impact Measurement: Create comprehensive business cases, perform ROI and financial analyses, and meticulously track outcomes to verify the strategic and economic value delivered by AI initiatives. * AI Governance: Ensure AI deployments adhere strictly to ethical standards, data privacy regulations, and internal governance frameworks, maintaining compliance and mitigating risk. * Stakeholder Collaboration: Engage cross-functionally with business leaders, data scientists, and external technology partners to define and deliver targeted AI solutions. * Change Leadership: Effectively manage organizational change, promoting AI literacy and fostering a proactive culture around AI through targeted training programs, clear communication, and stakeholder engagement initiatives. * As the pillar grows, help define staffing needs and mentor junior product management talent added to the team