Product Manager – Knowledge Platform

🕒 August 20

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 10%

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Lightcast

501 - 1000 employees

🏢 Enterprise

📚 Education

🏛️ Government

Enterprise • Education • Government

Lightcast is a leading authority on labor market data, providing trusted and comprehensive labor market analytics to drive decisions across education, enterprise, and government sectors. With more than 23 years of experience, Lightcast delivers detailed insights into skills, jobs, supply and demand through an extensive data set generated from millions of job postings, career profiles, and other sources across the globe. Their services are designed to help educational institutions, enterprises, and government organizations build future-ready workforces by using AI-enabled and continuously updated data. Lightcast is globally recognized and trusted by industry innovators, and is a vital resource for organizations navigating workforce challenges and demographic changes in the labor market.

📋 Description

• Define the strategy, roadmap, and investment priorities for the knowledge platform • Lead discovery of new capabilities by identifying customer problems, assessing data feasibility, and validating opportunities • Translate complex data opportunities into clear product requirements, specifications, quality criteria, and investment decisions • Partner with engineering, data science, taxonomy, analytics, and commercial teams throughout product development • Balance customer value, data quality, technical feasibility, and business priorities when making product decisions • Communicate complex technical and data-product concepts effectively to technical, commercial, and executive stakeholders • Evaluate developments in AI, analytics, labour market intelligence, and knowledge technologies to identify valuable new opportunities • Use data and evidence directly to assess quality, explore opportunities, and guide product decisions

🎯 Requirements

• Bachelor’s degree preferred in a relevant field • 3+ years in a relevant role, with demonstrated autonomy and ownership • Significant experience working in a data-rich environment • Experience with technical, analytical, or data-focused products, including product strategy, discovery, and/or delivery • Technical fluency in data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems • Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders • Ability to work directly with data, including exploratory analysis and data-quality assessment • Strong interest in AI, knowledge representation, labour market intelligence, and the future of work

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