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Senior Product Manager

EdCast

Location not statedJobPosted 1mo agoStill listed 3 days ago

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Job overview

The Senior Product Manager will lead strategy and execution for an AI‑powered skills platform, shaping how organizations understand workforce capabilities and close skill gaps. The role partners with engineering, design, data science, and go‑to‑market teams to ship personalized, data‑driven learning experiences in a fast‑moving, ambiguous environment.

Skills & qualifications

RequiredNice to have

Skills

Product ManagementData ScienceMachine LearningLearning Management SystemsUsability TestingStakeholder ManagementCompetency AssessmentPersonalizationAI Powered ExperiencesSkills IntelligencePersonalized LearningGenerative AINLPLXPProduct AnalyticsCommunicationCustomer DiscoveryUsability ResearchData Informed Decision Making

Qualifications

6+ Years Product Management Experience2+ Years Senior or Lead CapacityExperience Building SaaS or Platform ProductsDirect Experience Building Products in Skills AI Talent Technology Space

Full job description

Senior Product Manager About the Role We're looking for a Senior Product Manager to lead the strategy and execution for our skills and AI platform. In this role you'll own products at the intersection of AI-powered experiences and skills intelligence — helping organizations understand the capabilities oftheir workforce and close skill gaps at scale. You'll partner closely with engineering, design, data science, and go-to-market teams to ship products that make learning smarter, more personalized, and measurably effective. This is a high-impact role for someone who is energized by ambiguous, fast-moving spaces and wants to shape how AI transforms how people learn and grow. In this Role you will .. Own the product vision, strategy, and roadmap for our skills capabilities, from discovery through launch and iteration. Define and drive the AI product strategy — including personalized learning paths, content recommendations, skills inference, and generative/agentic features — balancing user value, technical feasibility, and responsible AI practices. Translate customer and market needs into clear requirements, prioritized backlogs, and well-scoped initiatives that engineering teams can execute against. Partner with data science and ML teams to build and refine models for skills mapping, competency assessment, and adaptive learning experiences. Lead the Skills product surface — course delivery, learning paths, assessments, reporting, admin workflows, and integrations with the broader LXP/ LMS ecosystem. Conduct customer discovery, usability research, and win/loss analysis to continuously validate direction and uncover new opportunities. Define success metrics, instrument products for measurement, and use data to inform decisions and demonstrate impact. Collaborate cross-functionally with design, marketing, sales, and customer success to drive adoption and ensure go-to-market readiness. Communicate strategy, trade-offs, and progress clearly to leadership and stakeholders across the organization. You've got what it takes if you have 6-8 years of product management experience, including 2+ years in a senior or lead capacity, ideally shipping SaaS or platform products. Direct experience building products in the Skills, AI, Talent technology space — with hands-on familiarity with Learning Management Systems (LMS) and related learning ecosystems. Demonstrated experience shipping AI/ML-powered features and a working understanding of how to scope, evaluate, and productionize models (personalization, recommendations, NLP, or generative AI). Strong grasp of skills frameworks, competency models, or skills-based talent strategies and how they map to product experiences. Proven ability to translate complex, ambiguous problems into clear product strategy and executable roadmaps. Fluency with product analytics and a data-informed approach to decision-making and prioritization. Excellent communication and stakeholder management skills, with the ability to influence without authority across technical and non-technical audiences. A customer-obsessed mindset backed by a track record of discovery and research driven product development. #LI-Onsite

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