Technical Product Manager - 990

The Technical Product Manager at Lightcast is responsible for making Lightcast data easily consumable across major platforms like Snowflake, Databricks, and BigQuery. This role requires a blend of technical expertise, product management skills, and leadership to deliver reliable, share-ready data products. Key responsibilities include owning backlog execution, defining data contracts, ensuring compliance, and driving successful product launches to expand customer adoption and platform reach.

Must Have

• Develop deep understanding of Lightcast data products and platform integrations.
• Own and manage backlog, translating requirements into user stories and acceptance criteria.
• Operate and optimize data listings across Snowflake, Databricks, BigQuery, and S3.
• Define and enforce data contracts (schemas, versioning, deprecation).
• Ensure compliance with Security, Legal, and Governance for PII handling and access control.
• Coordinate product launches, including changelogs, documentation, and enablement.
• Monitor and evaluate data quality, setting thresholds for freshness and duplicates.
• Drive platform expansion by increasing listings and active consumers.
• Bachelor’s degree in a technical discipline or equivalent experience.
• 1-2 years experience as a Technical Product Manager in data platforms.
• Hands-on expertise with Snowflake, Databricks/Delta Sharing, and BigQuery sharing models.
• Working knowledge of SQL, data modeling, orchestration, and versioning.
• Familiarity with observability tools and governance frameworks.
• Proven ability to deliver reliable, compliant, customer-ready data products.
• Experience with agile methodology, backlog ownership, and roadmap execution.

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 25 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 headquarters in Moscow (ID) 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 and companies, and our communities.

Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. 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.