AI Product Owner Intern at Sentinel focusing on research projects in emerging AI technologies, contributing to reporting, and prototyping new features. Join a fast - paced environment with real ownership and growth opportunities.
About the role
- Director of Product leading data product strategy and delivery at GitLab, enhancing analytics and reporting solutions. Collaborating with engineering for impactful product developments in a remote environment.
Responsibilities
- Set the product vision, strategy, and roadmap for GitLab's data product area, including a reporting and analytics platform that helps customers understand performance across the software development lifecycle.
- Lead and develop a team of product managers, providing clear priorities, coaching, and an operating cadence that supports high-quality execution in a remote, asynchronous environment.
- Partner closely with engineering leadership to shape system-level architecture and sequencing, aligning technical investments with customer outcomes and business impact.
- Define and deliver core analytics experiences for GitLab customers, such as engineering efficiency dashboards, DORA metrics dashboards, value stream analytics dashboards, and security dashboards.
- Drive the go-to-market and product strategy for monetizing data capabilities, including identifying target customer cohorts, packaging, and value propositions for data products.
- Lead 0 to 1 product work for emerging capabilities like the GitLab Knowledge Graph, helping connect data across GitLab and beyond to power analytics and artificial intelligence outcomes.
- Enable secure, reliable data access as a product, including customer-facing pathways to export or integrate GitLab data into external analytics and data warehouse environments.
- Ensure the data platform supports GitLab's internal reporting needs, including product usage insights and other internal analytics, by aligning stakeholders on definitions, data quality, and trusted metrics.
Requirements
- Deep experience leading product management for data platforms and data products in enterprise software or SaaS, including building foundational analytics and reporting capabilities that serve a broad customer base.
- Demonstrated ability to take data products from 0 to 1, including defining vision, validating customer needs, and delivering an initial product that can scale.
- Strong systems thinking and comfort operating across a complex data ecosystem, including platform instrumentation, data modeling, and how data connects across product areas to power analytics and AI outcomes.
- Proven track record of developing monetization strategies for complex data products, including identifying target customer cohorts, defining packaging and value propositions, and partnering across the business to open new revenue streams.
- Director-level people leadership experience, including managing and developing product managers and building high-performing, collaborative teams.
- Strong cross-functional partnership skills, especially with engineering leadership, to set strategy, make tradeoffs, and drive execution across multiple workstreams and stakeholders.
- Executive-level communication skills, with experience leading strategic conversations, aligning leaders on priorities, and clearly articulating product strategy, impact, and decisions.
- Ability to work autonomously and asynchronously in a fully remote environment, staying aligned through clear written communication, measurable goals, and consistent operating rhythms.
Benefits
- 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
- Home office support
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