Senior Product Manager - Data Integrations
GitLab · Posted Nov 2
DevSecOps platform, software version control, CI/CD pipeline, and AI-assisted development services
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About the role
GitLab provides a DevSecOps platform for software development and operations, and this role sits in the Core Data Products organization, which focuses on insights, analytics, and data-driven decision-making. As Senior Product Manager for Data Integrations, the role decides which external systems connect to the Data Insights Platform and Orbit, how their data maps into shared models, and how ETL and transformations bring context together with GitLab's code, merge requests, pipelines, deployments, and vulnerabilities.
What you will do
- Set integration priorities using evidence from customers, field teams, and other product managers to identify the biggest gaps in context.
- Shape how external data maps into GitLab's shared data models, including the extract, transform, and load (ETL) approach and the transformations needed to make sources work together.
- Define the customer problems and user groups each integration serves. Partner with engineering to agree on the intended experience, trade-offs, and delivery sequence.
- Translate product decisions into a clear backlog of epics and issues for engineering.
- Define telemetry and adoption signals to understand whether connected data helps customers answer new questions, and use those findings to guide priorities.
- Help shape integration pricing and packaging as the product area matures.
- Use AI coding agents and GitLab to explore data, prototype integrations, and document the intended experience.
Skills used in this role
What the employer is looking for
- Product management experience, with the ability to connect customer needs to priorities and make trade-offs with incomplete information.
- Strong knowledge of the software development and operations (DevOps) ecosystem, including how planning, security, observability, and IT service management tools fit into engineering workflows.
- A working understanding of data integration, ETL, and data transformation, including how data from different systems maps to a common model. You don't need a background as a data engineer.
- Comfort using AI tools for prototyping and documentation as part of your product work.
- Clear communication about customer problems, close collaboration with engineering, and a habit of using data to evaluate adoption.
- Experience with integration products, data models, or value stream analytics is helpful, but isn't required.
Benefits and support
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
About GitLab
GitLab is an intelligent orchestration platform for DevSecOps, delivered as a single application that empowers development, security, and operations teams to ship software faster and more securely. Operating as one of the world's largest all-remote companies, GitLab integrates the entire software lifecycle from planning and source code management to CI/CD and automated security testing. Millions of users and thousands of organizations globally rely on GitLab to scale their development workflows and adopt agentic AI engineering.
- Industry
- Software Development
- Company size
- 2375 employees
- Founded
- 2011
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $435M raised
- 2022-09-16Post IPOUndisclosed
- 2019-09-17Series E$268M
- 2018-09-19Series D$100M
- 2017-10-10Series C$20M
- 2016-03-15Series B$4M
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Technology Officer
Chief Product and Marketing Officer
Chief Business and Legal Officer
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