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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in B2B SaaS product management with a focus on enterprise learning platforms, including AI/ML product delivery and integration. Proven ability to lead strategic initiatives, collaborate with technical teams, and drive product monetization strategies.
Highest-signal resume keywords
B2B SaaS Product ManagementEnterprise Learning Platform OwnershipAI/ML Product DeliveryAPI-First ArchitecturesProduct Packaging Strategies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Product DevelopmentLearning Experience Platform (LXP)Learning Management System (LMS)Microservices ArchitectureRAG FrameworkConversational InterfacesDeep Personalization EnginesVideo-Native Learning WorkflowsCompetency FrameworksSkills Taxonomies
Soft Skills
Builder MindsetExtreme OwnershipCollaboration
Tools & Technologies
KalturaPathFactoryBlueRushAgentic Platform
Industry Keywords
Sales EnablementCustomer OnboardingGTM LeadershipWin/Loss AnalysisCompetitive Counter-Positioning
Tech Stack
Tools & technologiesMicroservices
About the role
Key responsibilities & impact- Define and execute the end-to-end roadmap for the Learning & Enablement Platform
- Serve enterprise L&D, sales enablement, customer onboarding, and education verticals
- Drive integration with Kaltura’s Agentic Platform, including AI Genie, Conversational Avatars, and Memory engines
- Integrate post-merger assets including the PathFactory recommendation engine and BlueRush content creation
- Partner with GTM leadership on pricing, packaging, and positioning for enterprise deals
- Drive win/loss analysis and competitive counter-positioning against legacy players
- Serve as business owner for a high-visibility, board-level strategic initiative
- Present progress, milestones, and cohort metrics to executive leadership
- Lead delivery of the 0-to-1 MVP and drive post-MVP expansion
- Build AI course generation, conversational AI tutoring, multimodal learning paths, enterprise platform foundations, advanced simulations, and personalized learning journeys
Requirements
What you’ll need- 7+ years in B2B SaaS product management
- At least 3 years directly owning an enterprise learning, enablement, LXP, or LMS platform at scale
- Hands-on experience delivering production-grade AI/ML products leveraging RAG, LLMs, conversational interfaces, or deep personalization engines
- Understanding of current AI model limitations and deterministic guardrails
- Deep comfort with API-first architectures, microservices, LTI/xAPI standards
- Experience collaborating with highly technical engineering teams on architectural tradeoffs
- Proven experience designing product packaging and monetization strategies for complex, multi-buyer enterprise sales cycles
- Experience selling to VPs of Enablement, Chief Revenue Officers, and Chief Learning Officers
- Builder mindset; ability to thrive in ambiguity and take extreme ownership
- Experience with video-native learning workflows or enterprise video infrastructure is a strong plus
- Practical experience unifying acquired products or disparate codebases into a seamless platform experience is a strong plus
- Familiarity with competency frameworks, skills taxonomies, and compliance standards is a strong plus
Benefits
Comp & perks- Hybrid work model
- Flexible state of mind / flexible working approach
- Diverse and collaborative work environment
- Opportunities for growth and evolution
- Cloud-based technology environment