Product Manager – Service Engineering

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📋 Description

• Define product vision, strategy, and roadmap for Service Information and Technical Publications solutions across the Windchill product development lifecycle
• Engage customers, partners, analysts, and field teams to understand business challenges and market opportunities
• Translate business requirements into epics, user stories, and prioritized product backlogs
• Engage R&D teams on technical discussions and guide implementation approaches and backlog execution through product releases
• Evaluate emerging technologies and identify opportunities to leverage AI and automation
• Partner with R&D and UX teams to design and deliver innovative, AI-powered solutions
• Drive Agile planning, backlog management, prioritization, and story acceptance
• Support product launches, sales enablement, and go-to-market activities
• Collaborate across Product Management, R&D, Sales, Support, and Partners
• Influence product strategy across a complex software portfolio

🎯 Requirements

• Strong foundation in modern Product Management practices, with inbound skills and ability to translate customer needs into successful enterprise solutions
• Experience with Agile/Scrum methodologies, backlog management, and user story development
• Strong understanding of Product Lifecycle Management, Manufacturing Engineering, Service Engineering, Service Lifecycle Management (SLM), and Technical Publications
• Proven implementation experience in service content workflows of enterprise software applications, including structured content, publishing, and content delivery
• Knowledge of technical documentation standards: DITA 2.0, DITA-OTK, Industry 4.0, S1000D, iiRDS, and eIFUs
• Understanding of Azure, AWS, REST APIs, microservices, and modern SaaS architectures
• Familiarity with enterprise search, metadata, taxonomy, and information architecture
• Strong passion for AI and emerging technologies
• Understanding of Generative AI, LLMs, RAG architectures, semantic search, vector databases, knowledge graphs, and AI assistants
• Experience identifying and delivering AI-powered customer solutions
• Ability to translate AI innovations into product strategy and measurable business value
• Knowledge of AI applications for content creation, translation, knowledge management, and service operations
• Bachelor's degree in Engineering, Computer Science, Information Systems, Technical Communication, or a related field
• 10+ years of experience in Product Management, Technical Product Management, Engineering, Solution Architecture, or related disciplines
• Proven success delivering enterprise software products from concept through market adoption
• Ability to work effectively with highly technical teams and executive stakeholders
• Applicants must be authorized to work in the United States without requiring current or future sponsorship from [REDACTED]

🏖️ Benefits

• Performance-based bonus eligibility
• Employee share purchase program (ESPP) with discounted [REDACTED] stock
• Potential eligibility for equity programs
• Medical, dental and vision insurance
• Paid time off and sick leave
• Tuition reimbursement
• 401(k) contributions and employer match
• Flexible spending accounts
• Life insurance
• Disability coverage
• Generous commuter subsidy for office-assigned employees

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