The GitLab DevOps platform empowers 100,000+ organizations to deliver software faster and more efficiently. We are one of the world’s largest all-remote companies with 1,800+ team members and values that guide a culture where people embrace the belief that everyone can contribute.
Our entire handbook is public. You can find the details of our vision & direction, check out how we structure our R&D teams, and understand how our UX team operates.
You will be embedded in our Data Science section, working directly with the Applied ML and Anti-abuse groups.
Both ModelOps and Anti-abuse are components of GitLab's Data Science product strategy. ModelOps focuses on enabling Data Scientists to use GitLab effectively. Anti-Abuse will use Data Science techniques to build a user activity data system and automation to protect GitLab from abuse and misuse.
The Applied ML group is currently focused on extending GitLab functionality by providing additional value through ML & AI. This group will collaborate with other product teams to apply ML or AI to our existing categories and features (such as source-code management, code review, or team planning). The focus is on making our product smarter, easier to use, and more intelligent so our customers can deliver software faster!
Initially, Anti-abuse's work is focused on stabilizing GitLab from abuse, but it will also build new revenue-generating products related to Insider Threat detection and UEBA tooling, both of which will rely on data science techniques.
Also, we know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the listed requirements exactly to be considered for this role.
The culture at GitLab is something we're incredibly proud of. You'll spend your time collaborating with kind, talented, and motivated colleagues from across the world.
Some of the benefits you'll be entitled to vary by the region or country you're in. However, all GitLab team members are fully remote and receive a "no ask, must tell" paid-time-off policy, where we don't count the number of days you take off annually.
You can work incredibly flexible hours, enabled by our asynchronous approach to communication. We'll also help you set up your home office environment, pay for your membership to a co-working space, and, every year or so, we'll invite you to our Contribute event.
The hiring process for this Product Designer position typically follows five stages. The details of this process can be found at the bottom of our job family page. Our compensation calculator will be shared with candidates selected for a screening call.
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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