Associate Product Manager (Data) - 1072

Job Description

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 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, headquartered in Moscow, ID (US), with 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, companies, and 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.