Principal Product Manager, Engineering Intelligence & Insights

About the Role

As a Principal Product Manager at Gitlab, you will be part of a high-performance culture that values innovation, collaboration, and continuous knowledge exchange. You will work closely with engineering leaders to shape core platform capabilities, including data pipelines, storage, and APIs, that support analytics experiences across Gitlab. Your ability to partner with cross-functional teams, including engineering, design, and product, will be essential in driving the success of this role.

The Principal Product Manager, Engineering Intelligence & Insights, will be responsible for defining the multi-horizon roadmap for Gitlab's data analytics and insights platform. This will involve balancing immediate customer needs with long-term platform investment and setting clear success measures for roadmap delivery and customer adoption. You will also be responsible for championing the needs of engineering leaders and executive users, translating how they actually consume data, often live in a meeting under time pressure, into product requirements.

What You Will Do

• Define the multi-horizon roadmap for Gitlab's data analytics and insights platform, balancing immediate customer needs with long-term platform investment.
• Partner with engineering leaders to shape core platform capabilities, including data pipelines, storage, and APIs, that support analytics experiences across Gitlab.
• Collaborate with the Knowledge Graph product team to ensure insight experiences are powered by connected, cross-lifecycle data rather than isolated project metrics.
• Design a tiered analytics experience that meets customers where they are: conversational AI discovery for a fast answer, out-of-the-box dashboards for recurring needs, and custom dashboard creation for teams that want full control.
• Prioritize dashboards and insight workflows for software leaders so they can measure deployment frequency, cycle time, value stream management, AI feature impact, and AI cost and ROI in Gitlab.
• Develop conversational AI interfaces and extensible dashboard tooling on top of GitLab's analytics platform.
• Build dashboards for DORA metrics, value stream performance, AI adoption, and AI cost and ROI analysis.
• Work closely with the product and engineering teams to ensure the successful delivery of the product roadmap.
• Develop and maintain a deep understanding of the market, industry trends, and customer needs.

What We Are Looking For

• 8+ years of experience in product management, with a focus on data analytics and insights.
• Experience working with cross-functional teams, including engineering, design, and product.
• Strong understanding of data analytics and insights, including data pipelines, storage, and APIs.
• Experience with conversational AI and extensible dashboard tooling.
• Strong communication and collaboration skills, with the ability to work with both technical and non-technical stakeholders.
• Experience with Agile development methodologies and version control systems such as Git.
• Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions.
• Experience working in a fast-paced, dynamic environment, with the ability to prioritize multiple tasks and projects.

Nice to Have

• Experience working with cloud-based technologies such as AWS or Azure.
• Experience with machine learning and AI, including natural language processing and computer vision.
• Experience working with large datasets and data visualization tools such as Tableau or Power BI.
• Experience with DevSecOps and the software development lifecycle.
• Certification in product management or a related field.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible PTO policy, with the ability to work from anywhere.
• Professional development opportunities, including training and conference attendance.
• Access to the latest technologies and tools, including MacBooks and cloud-based software.
• Collaborative and dynamic work environment, with a team of experienced professionals.
• Opportunity to work on complex and challenging projects, with the potential to make a real impact.

• Tip: Make sure your resume and LinkedIn profile are up-to-date and highlight your experience in product management, data analytics, and AI.
• When applying, be prepared to talk about your experience working with cross-functional teams and your ability to communicate complex technical ideas to non-technical stakeholders.
• Be sure to research Gitlab and the DevSecOps space, and be prepared to discuss your understanding of the market and industry trends.
• Consider creating a portfolio of your work, including examples of your experience with data analytics and AI, to share with the hiring team.
• During the interview process, be prepared to answer behavioral questions, such as 'Tell me about a time when...' and be ready to provide specific examples from your experience.
• Don't be afraid to ask questions during the interview, such as 'What are the biggest challenges facing the team right now?' or 'Can you tell me more about the company culture?'