Technical Product Manager - 990

The Technical Product Manager is responsible for making Lightcast data easily consumable across major platforms, including Snowflake, Databricks, BigQuery, and others. This role blends technical expertise, product management skills, and cross-functional leadership to deliver reliable, share-ready data products. You will own backlog execution, define and enforce data contracts, ensure compliance, and drive successful launches that expand customer adoption and platform reach.

Location Matters. While this role is remote, candidates living in Moscow, ID and the surrounding areas will be prioritized to support deeper collaboration. Those residing within 50 miles of our Moscow, ID office will be required to work onsite five days per week.

Major Responsibilities:

• Develop and maintain a deep understanding of Lightcast data products, platform integrations, and client needs, serving as an expert on how our data is consumed and shared.
• Own and manage the backlog by translating product manager requirements into epics, user stories, and acceptance criteria, ensuring the engineering team is unblocked and shipping reliably against roadmap commitments.
• Operate and optimize data listings and entitlements across Snowflake Secure Shares/Marketplace, Databricks Delta Sharing/Marketplace, BigQuery Analytics Hub, and S3-based delivery, ensuring new and updated datasets are published within agreed SLAs.
• Define and enforce data contracts, including schemas, versioning, and deprecation playbooks, to prevent breaking changes and provide clear migration paths.
• Partner with Security, Legal, and Governance teams to bake in compliance related to PII handling, access control, lineage, and auditability, keeping all shares auditable and secure.
• Coordinate product launches by owning changelogs, migration notes, documentation, and internal enablement, while also managing incident triage and RCAs for the data shares surface area.
• Monitor and evaluate data quality by setting thresholds for freshness, null values, and duplicates, ensuring high standards for customer reliability and trust.
• Drive platform expansion by increasing listings, active consumers, and supported platforms quarter over quarter, demonstrating measurable growth in adoption and usage.

Education and Experience:

• Bachelor's degree in Computer Science, Engineering, Data Management, or a related technical discipline OR equivalent experience.
• 1-2 years of experience as a Technical Product Manager, Platform PM, or Solutions Architect in data platforms.
• Hands-on expertise with Snowflake, Databricks/Delta Sharing, and BigQuery sharing models, permissions, and listings.
• Working knowledge of SQL, data modeling, orchestration, and versioning.
• Familiarity with observability tools (tests, monitors, SLIs/SLOs) and governance frameworks (IAM, Unity Catalog, row/column security).
• Proven ability to deliver reliable, compliant, and customer-ready data products.
• Skilled at working effectively with cross-functional teams, including engineering, data, legal, security, and GTM.
• Excellent written and verbal communication skills.
• Experience with agile methodology, backlog ownership, and roadmap execution.
• Strong technical writing for user stories, acceptance criteria, and product documentation.

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 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.