Senior Product Manager, Model Ops (MLOps)

The GitLab DevSecOps platform empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the world’s largest all-remote companies with 2,000+ team members and values that foster a culture where people embrace the belief that everyone can contribute. Learn more about Life at GitLab.

An overview of this role:

We're looking for a Product Manager to drive the roadmap for MLOps at GitLab! This group is focused on enabling GitLab users to build and run data science workloads across GitLab’s AI-powered DevSecOps platform. This individual will lead an expansion of GitLab’s core personas to address the needs of data science teams and will work cross-functionality with other GitLab stages to ensure our platform supports ML/AI workloads that align with our ModelOps product direction. This individual will be responsible for developing new revenue-generating products and enhancing existing product features used by millions of users across the world.

What you’ll do:

• Work closely with internal development, technical field, legal, and privacy teams to enable GitLab to effectively support data science use cases 
• Ensure that the next milestone contains the most relevant items to customers, users, and us
• Work with customers, users, and other teams to make feature proposals enticing, actionable, and small
• Keep the group’s /direction up to date as our high-level roadmap
• Ensure that we translate customer demands to features that solve problems and get used but keep the product UI clean and the codebase maintainable
• Be present on social media (hacker news, twitter, stack overflow, mailing list), to keep up with the rapidly evolving ML/AI ecosystem

What you’ll bring 

• Knowledge of how to operationalize the lifecycle management of data science workloads, including data ingestion and ETL, feature engineering, development environment setup, CI/CD integration, model versioning, testing, and production deployment
• Familiarity with the technical differences and operational requirements of various AI disciplines (e.g. supervised and unsupervised machine learning, deep learning, natural language processing, neural networks, etc.)
• Deep understanding of the production pain points of data science products
• Prior experience with data science products and use cases
• Demonstrated ability to work in a cross-functional team in a large Product organization

Additional core responsibilities of GitLab Product Managers. 

How GitLab will support you

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and development budget 
• Parental leave 
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many suc