Overview
Important information before applying:
Full job description
Important information before applying: Location: This position is based on-site in Moscow, Idaho, and requires five days per week in the office. We will consider only candidates who currently live locally or are willing to relocate. Work Authorization: To respect your time, we cannot provide employment visa sponsorship for this position now or in the future. Before applying, please confirm that you are authorized to work in the United States without current or future employer sponsorship.
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.
Lightcast does not offer visa sponsorship now or in the future. Candidates must be authorized to work in the United States without sponsorship
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.
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
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