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The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
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An overview of this role
As a Senior Product Manager for Data Integrations, you'll help GitLab's analytics and artificial intelligence (AI) agents see beyond the data held in GitLab. You'll decide which external systems connect to the Data Insights Platform and Orbit, which integrations come first, and how their data fits into shared models.
Engineering teams plan work, track incidents, monitor production, and manage security findings across different tools. Your challenge is to bring that context together with GitLab's code, merge requests, pipelines, deployments, and vulnerabilities. You'll shape a consistent approach that gives customers a trustworthy picture they can query, report on, and use with agents, rather than another set of disconnected data sources.
This role is based in Bangalore, India. You'll work from home and come to the Bangalore office when needed for business or team activities. You should be based in Bangalore or willing to relocate there.
What you'll 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.
What you'll bring
- 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.
About the team
We're part of GitLab's Core Data Products organization, which focuses on insights, analytics, and data-driven decision-making. You'll report to the Vice President of Product Management and join as our third product manager, focused on Data Integrations. You'll work alongside a Principal Product Manager responsible for the Data Insights Platform and dashboards, and a Product Manager focused on Orbit.
GitLab is all-remote, with asynchronous collaboration across regions. Transparency, written communication, and clear decisions are central to how we work. This role has the Bangalore location and in-person requirements described above.
How GitLab Supports Full-Time Employees
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
