GitLab
Senior Product Manager – Data Integrations at GitLab
GitLab is hiring a Senior Product Manager – Data Integrations in Bangalore, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
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1. Job details
GitLab
Senior Product Manager – Data Integrations
Bangalore, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from GitLab
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
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.
* Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
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
- 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
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.
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of GitLab’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Senior Product Manager – Data Integrations interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
6. Questions and how to apply
How do I apply?
Use the apply button below. It opens GitLab’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. GitLab runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
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