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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for enterprise software, particularly in model-based systems engineering and digital engineering. Proven ability to develop product strategies, execute roadmaps, and influence cross-functional teams while maintaining strong customer relationships.
Highest-signal resume keywords
Product Management ExperienceModel-Based Systems EngineeringAgile Software DevelopmentCustomer Discovery and ValidationStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product Strategy DevelopmentRequirements GatheringComplex Engineering Problem SolvingSysML and UML ProficiencyDigital Engineering KnowledgeCloud Platforms ExperienceALM and PLM FamiliarityAnalytical JudgmentEvidence-Based Decision MakingLifecycle Management
Soft Skills
Excellent Communication SkillsInfluencing Without AuthorityFacilitation SkillsNavigating AmbiguityBuilding Trusted Relationships
Tools & Technologies
REST APIsOSLCModel InterchangeAI-Enabled Product ExperiencesAgentic Software Concepts
Industry Keywords
Enterprise SoftwareEngineering SoftwareSaaSDigital ThreadProduct-Line Engineering
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own and communicate the product strategy, roadmap, priorities, and measurable outcomes for PTC Modeler
- Balance near-term customer commitments, product quality, platform evolution, competitive differentiation, and longer-term strategic opportunities
- Translate strategy and customer problems into prioritized product outcomes, investment proposals, and clear requirements for R&D and UX
- Partner with R&D and UX throughout discovery and delivery
- Define success measures and use product telemetry, adoption data, customer evidence, and commercial results to evaluate outcomes
- Shape PTC's long-term vision for MBSE and systems engineering with product and technology leaders
- Explore AI, agentic experiences, connected engineering information, open standards, and modern user experiences for complex systems engineering
- Identify opportunities connecting systems engineering with requirements, software development, product architecture, product-line and variability management, PLM, simulation, and the broader digital thread
- Develop and validate product hypotheses with customers, partners, and systems-engineering practitioners
- Build trusted relationships with strategic customers, users, partners, and industry practitioners
- Lead continuous product discovery and translate evidence into problem definitions and differentiated product opportunities
- Represent the voice of the customer throughout the product lifecycle
- Maintain perspective on the MBSE and digital-engineering market, customer buying criteria, competitive alternatives, standards evolution, adjacent categories, and emerging technology shifts
- Assess build, partner, integrate, and ecosystem options
- Partner with Sales, Marketing, Customer Success, Services, and Support to improve positioning, enablement, adoption, retention, and customer outcomes
- Contribute to packaging, positioning, launch, and go-to-market decisions
- Develop evidence-based business cases for investment
- Support strategic opportunities, competitive engagements, executive customer discussions, demonstrations, and roadmap conversations
- Represent PTC with customers, partners, industry organizations, analysts, and the systems-engineering community
- Drive alignment across Product Management, Engineering, UX, Sales, Marketing, Customer Success, Services, and Support
- Communicate product direction, priorities, decisions, tradeoffs, and progress to executive, technical, commercial, and customer audiences
- Collaborate across PTC's Codebeamer, AI, Pure Variants, Modeler, and PLM portfolio
- Influence effectively in a global, matrixed organization without direct authority
- Maintain product management discipline for planning, refinement, validation, release readiness, and lifecycle management
Requirements
What you’ll need- 10+ years of product management experience in enterprise software, engineering software, SaaS, or a closely related environment
- Proven ability to develop product strategy, make evidence-based prioritization decisions, and execute against roadmaps
- Demonstrated experience with complex engineering, systems-development, or lifecycle-management problems
- Credibility with technical customers and practitioners
- Strong customer discovery, problem-framing, requirements, and product validation skills
- Experience partnering with Agile software development and UX teams from discovery through delivery
- Ability to connect technical capabilities to customer value, adoption, differentiation, and business outcomes
- Excellent written, verbal, presentation, facilitation, and stakeholder-management skills
- Strong analytical judgment and ability to navigate ambiguity, competing priorities, and consequential tradeoffs
- Ability to influence and align global cross-functional teams without direct authority
- Bachelor's degree in engineering, computer science, business, or a related field, or equivalent practical experience
- Practical experience with model-based systems engineering, systems engineering, digital engineering, or engineering software products
- Working knowledge of SysML and UML
- Familiarity with UAF and the evolution from SysML 1.x to SysML 2.0 is a plus
- Experience with relevant modeling, requirements, ALM, PLM, product-line engineering, simulation, or digital-thread ecosystems
- Understanding of traceability, configuration management, model governance, interoperability, engineering change, and reuse across the product lifecycle
- Familiarity with OSLC, REST APIs, and model interchange
- Experience bringing technically complex enterprise products to market and driving adoption across multiple customer personas and industries
- Experience with cloud platforms, enterprise software architectures, AI-enabled product experiences, or agentic software concepts
- Advanced degree in engineering, computer science, systems engineering, or business is preferred
Benefits
Comp & perks- Opportunities for team members to explore, learn, and grow
- Opportunities to see ideas come to life
- Inclusive environment celebrating differences
- Cutting-edge technology and innovation-focused work
