Senior Product Manager, Model Ops (MLOps)

Company: GitLab
Company: GitLab
Location: Remote
Posted on: 2023-11-05 01:00
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 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. The base salary range for this role’s listed level is currently for residents of listed locations only. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Colorado/Washington pay range $124,600 — $246,200 USD California/New York/New Jersey pay range $127,600 — $273,600 USD 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.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. 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 .
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