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Remote - Work from Home
Remote only
Not Available
Location: This position is remote; however, Lightcast can only employ individuals who live and work in states where the company is authorized to operate. At this time, we cannot employ individuals residing or working in the following states: Alaska, Arkansas, California, Delaware, Mississippi, Montana, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, Vermont, West Virginia, and Wyoming.
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.
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
