Product Manager - Knowledge Platform - 1075

EducationPals.ai; Moscow, Northern (ID, KY); Hybrid; USD 80,000 - 110,000; Full time

Job summary

Lightcast, a global leader in labor market insights headquartered in Moscow, ID, is seeking a product-minded professional who can work cross-functionally with customers, engineering, data science, product, and commercial stakeholders to translate data into meaningful product decisions.

You will collaborate with engineering, data science, taxonomy, analytics, and commercial teams throughout development, balance customer value with data quality and feasibility, and use data-driven evidence to

Qualifications

• Bachelor’s degree preferred in a relevant field.
• 3+ years in a relevant role, with 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.

Responsibilities

• 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.
• Use data and evidence directly to assess quality, explore opportunities, and guide product decisions.

Skills

Cross-functional collaboration

Data analysis

AI interest

Product discovery

Education

Bachelor's degree

Job description

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

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.
• 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.

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