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Lightcast

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Associate Product Manager (Data) - 1072

As an Associate Product Manager (Data), you will support the delivery of customer-facing data products. Working closely with Engineering, Data, Legal, Security, and GTM teams, you will support product execution, data platform operations, governance, and launches to ensure Lightcast data is reliable, compliant, and easy for customers to access and use. This early-career role is designed for someone looking to build technical product management expertise and grow into increased ownership over time.

Major Responsibilities:

  • Build an understanding of customer use cases, Lightcast data products, platform integrations, and how customers consume and share data

  • Support backlog management by translating requirements into epics, user stories, and acceptance criteria and helping engineering teams deliver against roadmap commitments

  • Support data contracts, including schemas, versioning, deprecation processes, and customer migration paths

  • Monitor data quality, including freshness, null values, and duplicates, and help resolve issues that impact reliability

  • Support product launches through changelogs, migration notes, documentation, internal enablement, incident triage, and root cause analysis (RCA)

  • Support product launches by contributing to changelogs, migration notes, documentation, and internal enablement

  • Help monitor data quality and flag issues with freshness, null values, and duplicates, ensuring high standards of customer reliability and trust.

Education and Experience:

  • 1–2 years of experience in product, data, analytics, or a related field

  • Exposure to modern data platforms such as Snowflake, Databricks, or BigQuery, including sharing models, permissions, or listings

  • SQL and modern data concepts

  • Familiarity with data quality, governance, and security concepts

  • Experience with agile methodologies, backlog management, and roadmap execution

  • Strong technical writing skills, including experience developing user stories, acceptance criteria, and product documentation

  • Excellent written and verbal communication skills

  • Ability to collaborate effectively across Engineering, Data, Legal, Security, and GTM teams

  • Interest in building reliable, user-friendly data products and developing technical product management expertise

Lightcast is a global leader in labor market insights, with headquarters in Moscow, ID (US) and 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.

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What this application asks

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Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Portfolio / Other URL

  • What are your salary requirements? written answer
  • Will you now or in the future require employer-sponsored immigration support (such as an H-1B, TN, E-3, O-1, OPT, visa, or employment-based green card) in order to work in the United States? choose one
  • Are you currently within commuting distance to our Moscow, ID office (within 50 miles)? choose one
  • If not, are you available for relocation? choose one · optional
  • Please list your home address written answer
  • Were you referred by, or do you personally know, a current Lightcast employee? If yes, please provide the employee’s name. If you do not have a specific employee name to provide, please select No. choose one
  • If so, please list their name here: written answer · optional
  • Please describe how you use SQL in your day-to-day work to analyze and manipulate large datasets. Provide a specific example of the type and volume of data you regularly work with, how you use SQL to analyze it, and how your findings help you solve problems or support business decisions. written answer

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