Product Manager - Knowledge Platform - 1075

Posted Yesterday
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Hiring Remotely in Moscow, MA, USA
In-Office or Remote
Mid level
Database
The Role
Drives strategy, roadmap, discovery, and development for a knowledge platform spanning taxonomy, ontology, analytics, and machine learning-powered products. Translates customer problems and data opportunities into product requirements, quality criteria, and investment decisions. Partners with engineering, data science, taxonomy, analytics, and commercial teams while evaluating AI and knowledge technologies. Uses exploratory analysis and data-quality assessment to guide product decisions and communicate effectively with technical, commercial, and executive stakeholders.
Summary Generated by Built In
The Product Manager, Knowledge Platform drives strategy and development of Lightcast’s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product judgement, technical fluency, autonomy, and the ability to connect customer needs with data, AI, and engineering capabilities.
                                          *THIS IS A REMOTE POSITION BASED IN UK*

Major Responsibilities:

  • 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.

Education and Experience:

  • Education: Bachelor’s degree preferred in a relevant field.

  • Experience: 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 areas such as 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.

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

Skills Required

  • 3+ years of experience in a relevant role
  • 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, artificial intelligence, 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
  • Bachelor's degree in a relevant field
  • Strong interest in artificial intelligence, knowledge representation, labour market intelligence, and the future of work
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The Company
HQ: Moscow, MA
468 Employees
Year Founded: 2000

What We Do

Emsi Burning Glass 
is now Lightcast. Our name is new, but our dedication to providing the world’s best data-driven talent strategies remains the same. We’re going to continue bringing clarity to the labor market, guiding our customers through a complex and changing world and giving them the competitive advantage they demand. Our mission is to unlock new possibilities in the labor market.

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